Wire19’s listing of top 50 Big Data companies you should know of in 2024

Accenture is an IT giant that caters to businesses of all sizes around the globe.  The firm provides a plethora of IT solutions like cloud, Artificial Intelligence (AI), automation services, security services, and many more. The company also specializes in data analytics and secured the leader position in Gartner Magic Quadrant for data and analytics services providers in 2022.Their data and analytics capabilities encompass several areas. Firstly, they assist clients in transforming their data into actionable insights, enabling informed business decisions. Additionally, Accenture provides Solutions.AI, a suite of customizable AI solutions tailored to address diverse business challenges. They also excel in search and content analytics, employing technologies such as search algorithms, analytics, natural language processing, and machine learning to extract valuable information from unstructured data.

Accenture’s AIP+ facilitates the rapid generation of insights, expediting decision-making processes and accelerating the realization of value. Their Accenture SynOps offering applies data and analytics to operational processes, unlocking new growth and value-creation avenues. They also offer Business Process Services, reimagining business performance and delivering sustainable value through intelligent operations. The company’s data and analytics capabilities enable businesses to tackle various challenges, including enhancing customer experience, reducing costs, increasing revenue, driving innovation, and making better decisions

Absolutdata is a global analytics and consulting firm renowned for its comprehensive big data services. They assist clients across industries in leveraging their data to gain valuable insights and improve business performance. Their services include data integration and preparation, big data analytics, visualization, and consulting. Absolutdata helps clients clean, transform, and enrich their data for analysis, employs advanced techniques like machine learning and AI for analytics, visualizes data in user-friendly formats, and provides consulting support for developing and implementing effective big data solutions.

Industries such as finance, healthcare, retail, and manufacturing benefit from Absolutdata’s services, enhancing risk management, patient care, inventory management, and product quality, among other areas. Key advantages of partnering with Absolutdata include their expertise, scalability to meet organizational needs, constant innovation with the latest big data technologies, and a commitment to security and compliance. With a proven track record, Absolutdata empowers clients to extract valuable insights and drive success through data-driven decision-making.

Adastra is a data analytics and IT consultancy firm that offers diverse services catering to data architecture, cloud computing, and application-related needs. They assist organizations in implementing innovative approaches such as Data Mesh Architecture, which enhances data agility, scalability, and security through decentralized ownership and governance. Adastra’s expertise includes tracking data lineage for better decision-making regarding data quality and compliance. They provide comprehensive support for cloud enablement, offering assessments, migration assistance, and cost optimization.

With a focus on cloud computing, Adastra helps organizations design and implement scalable, secure, and cost-effective cloud architectures, ensuring smooth cloud migrations and proactive cloud security measures. Additionally, they aid in reducing cloud costs through optimization strategies and negotiations. Adastra’s services also extend to areas like AI/ML solutions, application innovation, migration, modernization, and development. Overall, Adastra empowers organizations to leverage data, harness the potential of cloud technologies, and drive application-related advancements.

Alteryx is a software company that specializes in data and analytics. The company understands the impact that data can have on the growth and success of a business and aims to simplify the process of data management. The firm primarily caters to industries like finance, oil and gas, manufacturing, public sectors, higher education healthcare, and retail.Alteryx Analytics Cloud Platform is a powerful cloud-based solution that offers a unified and user-friendly analytics experience for businesses. It specializes in big data analysis, providing features for data preparation, analytics, and machine learning. With the platform’s ability to connect to various data sources, including cloud-based data lakes, Hadoop, and Spark, businesses can analyze structured, semi-structured, and unstructured data sets. Its efficient data processing capabilities ensure quick and scalable analysis of large data sets.

By leveraging machine learning algorithms, the platform uncovers valuable insights that traditional analytics methods may miss. Additionally, the platform promotes collaboration by enabling data and insights sharing among team members. With its user-friendly interface, scalability, and robust security measures, the Alteryx Analytics Cloud Platform empowers businesses to derive actionable insights from their big data assets and make informed decisions.

Amazon Web Services (AWS) is at the forefront of revolutionizing the way organizations handle data analytics. With an extensive suite of tools and services tailored to cater to diverse data analytics needs, AWS empowers businesses of all sizes and industries to harness the full potential of their data. From data storage to machine learning, AWS offers a comprehensive range of purpose-built services designed to deliver optimal price performance, scalability, and cost-efficiency.Some of the Key AWS Big Data Services include:

• Amazon EMR: Amazon Elastic MapReduce (EMR) is a leading cloud-based big data solution designed for processing petabytes of data. It supports interactive analytics and machine learning using open-source frameworks like Apache Spark, Hive, and Presto.
• Amazon Kinesis: Amazon Kinesis is a real-time data streaming service ideal for collecting, processing, and analyzing streaming data. Its applications range from fraud detection to IoT and real-time analytics.
• Amazon Redshift: Amazon Redshift is a fully managed, petabyte-scale data warehouse that enables fast and easy analysis of large datasets. It’s an excellent choice for businesses requiring robust business intelligence and reporting capabilities.
• Amazon Athena: Amazon Athena offers serverless, interactive query services for data analysis in Amazon S3. It’s an attractive option for businesses looking to analyze data without managing any infrastructure.
• Amazon QuickSight: Amazon QuickSight is a fully managed business intelligence service facilitating data visualization and analysis. It’s ideal for creating dashboards and reports to communicate insights with stakeholders.
• AWS Glue: AWS Glue is a serverless data integration service that simplifies data preparation for analytics, machine learning, and application development. It crawls, transforms, and loads data from various sources into data lakes or warehouses.
• AWS Lake Formation: AWS Lake Formation simplifies the setup and management of data lakes. It offers a unified view of data from multiple sources, with robust governance and security capabilities.
• Amazon OpenSearch Service: Based on the open-source Elasticsearch engine, Amazon OpenSearch Service is a fully managed search and analytics service used for searching and analyzing large volumes of data, such as logs, metrics, and events.

Ataccama is a comprehensive data management platform known for its big data processing and analytics capabilities. It offers features for data discovery, integration, data quality assurance, governance, and advanced analytics. The platform allows businesses to integrate various big data sources, ensuring a unified view for analysis and reporting. With data profiling, cleansing, and validation tools, Ataccama ensures data accuracy and reliability. It also provides governance tools for data lineage, access control, and auditing to maintain regulatory compliance and data security.The platform’s advanced analytics features include data mining, machine learning, and visualization. The company also offers consulting services, training courses, and 24/7 support to maximize its usage. The benefits of utilizing Ataccama’s capabilities include improved decision-making, increased operational efficiency, cost reduction, and enhanced compliance. Overall, Ataccama empowers businesses to effectively manage, govern, and analyze their big data assets, unlocking valuable insights and driving informed business decisions.

BairesDev is a globally recognized technology company offering IT outsourcing services, with a strong focus on big data and analytics. Their team of experienced professionals specializes in a wide range of big data projects, including data collection, storage, analysis, and customized solutions.They employ cutting-edge technologies like Hadoop, Spark, and NoSQL databases for secure and scalable data collection and storage. BairesDev excels in data analysis using machine learning, statistical analysis, and data visualization techniques, enabling businesses to extract valuable insights.

The company empowers businesses to enhance customer experiences by understanding behavior and preferences, improve operational efficiency by identifying optimization opportunities, and make well-informed decisions regarding product development, marketing, and strategic planning. It prioritizes the security and privacy of client data, implementing robust measures such as encryption, access control, and auditing. The firm’s skilled professionals ensure seamless data management, analysis, and visualization, enabling organizations to unlock valuable insights and drive business growth.

Beyondsoft is an IT services company that is focused on innovation and emerging technologies. They offer a wide range of services, including IT consulting, implementation, outsourcing, and training. The company provides comprehensive big data capabilities and analytics services that specialize in data curation, ensuring data cleanliness and organization. It also assists in building and managing data warehouses for secure and efficient data storage. With expertise in data mining, Beyondsoft helps businesses identify patterns and relationships in their data. Their data visualization services aid in presenting insights effectively. Furthermore, they offer predictive analytics, enabling businesses to make informed decisions.The company primarily caters to industries like financial services, retail, manufacturing, and healthcare. Beyondsoft’s big data capabilities and analytics services provide businesses of all sizes with the tools necessary to make better decisions, improve operations, and gain a competitive advantage in today’s data-driven world.

BigPanda is an analytics company specializing in big data solutions for IT Operations teams and has been recognized by Gartner as a leader in IT Operations Analytics. Their platform employs data science to automate and streamline IT Incident Management processes, addressing the complexities of modern data centers. With BigPanda’s platform, events from various tools are aggregated, normalized, and enriched using AI to derive actionable insights. This enables real-time incident detection and prevention, avoiding potential outages.The company provides data aggregation, normalization, enrichment, correlation, incident detection, investigation, and resolution services. It aggregates data from diverse sources and ensures its compatibility for analysis. It also employs AI to correlate data, identify patterns, and detect incidents promptly. BigPanda aids in investigating incidents by providing root cause insights and offering recommendations for resolution.

Their analytics services include operational dashboards for real-time monitoring, historical reporting to track trends, and a unified analytics platform for comprehensive data visualization. Its services yield several benefits, including reduced Mean Time To Resolution (MTTR), improved uptime, increased operational efficiency through process automation, and cost reduction by minimizing incidents and resolution time.

BlueCloud Technologies, headquartered in Houston, is an IT solutions provider specializing in big data analytics. Their comprehensive big data capabilities encompass data collection and storage, cleaning and preparation, mining and analysis, visualization, and real-time analytics. The company allows businesses to understand customer behavior, identify new market opportunities, improve operational efficiency, and help to make informed decisions. These services can be accessed through on-premises software, cloud-based software, or managed services, providing flexibility and scalability.The company caters to businesses of all sizes, enabling them to harness the power of big data for a competitive edge. It helps businesses to increase efficiency through task and process automation, leading to significant time and cost savings. Moreover, these services facilitate improved decision-making by providing valuable insights identifying untapped market opportunities, and supporting the development of new products and services.

Capgemini, a worldwide leader in consulting, technology, and outsourcing services, specializes in data and analytics solutions. They provide a comprehensive array of services in this field, including data strategy and consulting, data architecture and engineering, data analytics, data visualization, and data governance. The company develops a powerful HR data analytics solution that empowers organizations to effectively recruit, onboard, and retain top talent while establishing a diverse, inclusive, and equitable workplace that fosters a sense of belonging.It provides a data-powered, end-to-end approach based on a full-service portfolio, delivering on the transformative power of data and artificial intelligence (AI). The company boasts a talented team comprising more than 10,000 data scientists, engineers, and analysts, who support their data capabilities. They have a successful track record, exemplified by their collaboration with the European Commission on a data-driven platform for climate change monitoring.

Cartesian Consulting is a firm that specializes in analytics and data science. Their primary focus is assisting clients in the communications and digital media sectors to enhance decision-making processes through the effective utilization of data. With over three decades of experience, Cartesian possesses a highly skilled team comprising experienced data scientists, analysts, and consultants.Cartesian offers a wide range of analytics and data services, which include:

• Data extraction, cleaning, and wrangling
• Robust statistical methods and algorithms
• Exceptional visualization
• Action-oriented insights
• Building analytics capability

Cartesian’s analytics and data services have proven instrumental in enabling clients within the communications and digital media sectors to enhance their decision-making processes, operational efficiency, and customer experience.

Center Field is a marketing company that leverages data-driven approaches to assist businesses in acquiring customers at scale. Their proprietary Dugout platform enables the collection and analysis of data from diverse sources like website traffic, social media engagement, and customer behavior. This valuable data serves as the foundation for creating personalized marketing campaigns with higher conversion potential.Center Field’s analytics and data services encompass several keys like data collection, data analysis, and data-driven marketing. The company caters to businesses of all sizes, aiding them in customer acquisition and overall business growth. Notable clients include AT&T, T-Mobile, Spectrum, Humana, and Aetna. Center Field’s analytics and data services allow businesses to increase customer acquisition, improve marketing ROI, and better decision-making.

CI&T is a tech company that assists organizations in driving business impact through data and analytics. They provide a diverse range of services like AI/ Machine Learning, reporting and analytics, data governance, data quality, data engineering, and data platforms. They make data accessible to all stakeholders, facilitating collaborative decision-making. The company’s data and analytics services cater to organizations of all sizes, empowering them to harness the potential of their data for business growth.CI&T’s data and analytics services offer several benefits such as providing valuable insights into data that allows better decision-making and increasing efficiency by automating tasks and streamlining processes. The company helps in mitigating risks to ensure data accuracy and compliance, reducing the risk of errors or regulatory violations. This safeguards the organization’s reputation prevents costly penalties and allows improved customer experience which fosters customer loyalty and drives sales growth.

Civis Analytics is a company specializing in data and analytics that assists organizations in making informed decisions using data. They provide a range of services, including centralized data warehousing, data analytics, identity resolution, and research services. The company extends its services to a broad spectrum of clients, spanning political parties, non-profit entities, and businesses.Civis helps organizations gather, store, and manage their data in a centralized location, facilitating easy access, analysis, and enhanced data quality. Its data mining, predictive modeling, and statistical analysis capabilities allow organizations to extract valuable insights from their data, leading to better decision-making. The company also establishes comprehensive profiles by linking data from various sources like CRM systems, marketing databases, and government records. Their research services encompass survey design, data collection, and analysis that allow businesses to gain a deeper understanding of their customers or constituents, resulting in more effective marketing and outreach campaigns.

Clairvoyant is a company that specializes in data services, offering organizations assistance in integrating, managing, and deriving insights from their data. Clairvoyant caters to a wide range of industries across various sectors like retail, financial services, healthcare, manufacturing, energy and utilities, and more. They provide expertise in data engineering, analytics, visualization, machine learning, cloud technologies, and data governance.Clairvoyant helps companies build robust data infrastructure, automate processes, make predictions, and ensure data compliance and security. Their services enable organizations to make informed decisions and leverage the power of data for a competitive advantage.

Cloudera is a software company that provides a hybrid data platform designed for modern data architectures. They offer a diverse range of data and analytics capabilities like DataFlow, data warehousing, data lakes, stream processing, data science, and machine learning. Cloudera’s data and analytics capabilities are utilized by a wide range of organizations, including retail, healthcare, finance, educational institutions, and public sectors.Cloudera provides a scalable and high-performance data warehouse solution that can handle massive datasets in various formats. Its hybrid architecture combines the benefits of a data warehouse and a data lake, allowing users to store and analyze data of any format or structure in a single repository. Cloudera Data Platform (CDP) includes a stream processing feature that enables real-time data ingestion and analysis for applications like fraud detection and customer behavior analysis.

The company is also capable of effortlessly transferring data of any structure from various sources to different destinations across hybrid environments using over 450 connectors compatible with diverse systems. Its streamlined architecture prevents data lock-in and minimizes the need for multiple tools and redundant data movement. It provides a higher level of agility by empowering developers with a no-code self-service approach throughout the entire data pipeline lifecycle.

A spinout from the renowned MIT Media Lab, Cogito is a company specializing in data and analytics solutions tailored for customer service centers. It has developed Emotion AI which was primarily used to detect early signs of PTSD and other mental health disorders in soldiers to help them combat depression and suicide. The company caters to diverse industries, including healthcare, insurance, telecom, and cable.Cogito’s advanced emotion AI and conversation AI models analyze thousands of interactions and generate millions of data points, which continuously enhance the efficacy of its behavioral models. The platform provides personalized coaching plans based on real-time cues and comprehensive analysis of all calls and agent actions. The company also offers a Well-Being Monitoring module that provides insights into employee well-being, including indicators such as fatigue, burnout, and frustration among team members. This results in workforce retention, onboarding, and development. Through its AI models, the company gains an understanding of its operations, customer sentiments, and agent well-being.

DataArt is a technology consulting firm that offers an extensive range of services related to data and analytics. Their proficiency encompasses the entire data lifecycle, including tasks such as data discovery and augmentation, data integration, warehousing, mining, machine learning, and more.  The company caters to industries like finance, healthcare & life sciences, retail and distribution, media and entertainment, travel, transportation and hospitality, and education.DataArt assists in consolidating data from various sources into a unified repository. It constructs data warehouses and data marts to effectively store and manage your data. The company also leverages data mining and machine learning techniques and helps extract valuable insights from your data. Its expertise in the field helps it to create data-driven applications that automate tasks, and provide efficient predictive models that identify patterns to enable data-driven decision-making and enhance customer satisfaction.

Databricks is a data analytics platform that offers a unified solution for data engineering, data science, and machine learning tasks. It is constructed on Apache Spark and provides an extensive range of functionalities for data analysis such as data ingestion and preparation, data exploration and visualization, governance and security, and more.Databricks presents a unified data lakehouse architecture that facilitates storing all types of data, structured and unstructured, in a single repository. It also offers various data preparation tools, such as data cleaning, transformation, and enrichment. The company provides seamless collaboration features for data analysis projects. Users can easily share data, collaborate on notebooks, and build dashboards together. Databricks integrates AI-powered analytics capabilities, including machine learning, natural language processing, and image recognition. These advanced capabilities enable extracting insights from data that would be challenging using traditional analytics methods alone.

Dataiku is an inclusive software platform for data science collaboration, facilitating the creation and delivery of data-driven insights and advanced analytics at a large scale. It encompasses the entire data science lifecycle, from data preparation to model deployment. The company offers services like data preparation, visualization, machine learning, DataOps, MLOps, and analytic apps. It caters to industries like banking, the public sector, energy and utilities, retail, pharmaceutical, and more.The firm provides users with an extensive range of tools for data preparation, encompassing tasks such as data cleaning, feature engineering, and data wrangling. It provides features that support a broad array of machine learning algorithms, spanning supervised learning, unsupervised learning, and reinforcement learning as well as model evaluation and tuning. Dataiku is designed as a collaborative platform that facilitates teamwork on data science projects. It incorporates features for version control, sharing, and collaboration among team members along with seamless deployment options in both cloud environments and on-premises setups. From fraud detection to product recommendation, Dataiku does it all.

Datapine serves as a unified platform for business intelligence (BI) and data analytics, empowering companies to explore, visualize, analyze, and share their data. It operates as a cloud-based software solution that caters to businesses of all sizes, ranging from small enterprises to large corporations. The company caters to a wide range of industries like finance, manufacturing, retail, healthcare, construction, and more.The firm provides a wide range of data connectors, facilitating seamless integration with various data sources such as databases, cloud storage, and online applications. It offers intuitive exploration tools that simplify data analysis by identifying patterns and trends. Its extensive array of visualization options, including charts, graphs, maps, and dashboards enables effective sharing of insights and informed, data-driven decision-making. Its analysis tools enable outlier detection, hypothesis testing, and the development of predictive models.

Datapine also allows customers to white label their dashboards and reports and customize their company’s logo and color scheme. The company’s self-service analytics allow every user within the organization to generate actionable insights and contribute to the growth of the company.

Datameer is a data analytics platform designed to facilitate the efficient analysis of data for businesses, regardless of its size, type, or format. It operates as a self-service platform, allowing users to perform data preparation, exploration, and visualization without relying on data scientists or technical experts.The company assists businesses in effectively governing their data by offering features such as lineage tracking, audit logging, and data security. It also allows businesses to automate their data workflows, thereby enhancing efficiency and reducing the risk of errors. The services provided by Datameer are integrated with Snowflake and provide features like smart analytics, a library of over 270 functions, and spreadsheet interphase that not only aids businesses in governing their data and automating their data workflows but also makes them user-friendly.

Dell EMC stands as a cornerstone in empowering businesses to maximize their data potential. Through comprehensive solutions for data storage, analysis, and protection, Dell EMC drives transformative change, leading to enhanced predictions, customer insights, operational efficiency, and innovation.Dell EMC’s benefits are substantial: from 32% faster app deployment to 50% revenue growth via data analytics, and 80% storage utilization with the Data Lake concept, which unifies data management and eliminates silos. Practical applications showcase its prowess, with seamless scalability, silo elimination through centralization, and data-driven insights. The Data Lake provides an integrated data ecosystem for streamlined operations.

Dell Technologies’ wide-ranging capabilities span data ingestion and storage, data processing, data analysis, and data visualization. Moreover, Dell Technologies offers consulting, training, and support for big data endeavors. Practical applications highlight Dell Technologies’ impact across sectors, from healthcare optimization to predictive finance and personalized retail strategies. In essence, Dell EMC’s comprehensive suite drives businesses towards data-driven success, enabling them to unlock insights, revenue, and innovation.

DISQO stands as a pioneering force in the realm of customer experience (CX) by harnessing the immense capabilities of big data. Their platform is the trusted choice of businesses seeking to elevate decision-making across every customer interaction. What sets DISQO apart is its reliance on the industry’s largest opt-in consumer data platform, fueling insights, agile testing, and advertising measurement products.The company is a big data powerhouse, leveraging insights derived from vast data reservoirs to quantify brand impact and customer experiences. Their comprehensive suite of products, including Brand Lift, Outcomes Lift, Market Research, and Surveys, caters to the demands of a diverse range of industries, making them an indispensable partner for over 125 marketing firms and 300 companies worldwide. DISQO’s success story lies at the intersection of big data and CX, where every byte of information shapes better decisions and customer-centric outcomes.

Through person-level behavioral signals, they unveil the impact of campaigns across diverse platforms. Before launching into the market, DISQO empowers businesses to gauge audience sentiment, fine-tune messaging, and measure brand perception.DISQO’s single-source audience amplifies their CX platform’s capabilities. It allows for rapid testing, delivering actionable results in minutes, and connecting directly with the DISQO audience for targeted insights. Researchers benefit from a sample that is 100% DISQO-derived, eliminating the need for time-consuming aggregation from secondary sources.

Domo big data capabilities offer businesses a cloud-based intelligence platform that revolutionizes decision-making. With real-time access to diverse data sources, Domo’s data visualization tools empower users to consolidate their business data in one place. Founded in 2010, Domo was a trailblazer as the first cloud-native platform in its domain, operating on a Software-as-a-Service (SaaS) model and empowering businesses to extract actionable insights from the vast sea of data, transforming it from a cost center into a revenue opportunity, and paving the way for data-driven success.The company enables organizations to access and view data from anywhere, share insights across your organization, promote informed decisions at all levels, and expedite decision-making with real-time information. Domo’s capabilities extend beyond visualization, encompassing data integration with extensive connectors, data writeback functionality, cloud amplification, partitioned data handling, and robust data science capabilities. Its visualizations and dashboards support over 150 chart types, custom maps, and robust analytical tools like Analyzer, Beast Modes, and Stories. It also excels in mobile access, automated data discovery with AI-powered Insights, natural language queries, and collaboration through Domo Buzz and Profiles.

eLuminous boasts robust big data capabilities that encompass the entire data lifecycle. Beginning with data collection and integration, the company excels in gathering diverse data types, be it structured or unstructured, and harmonizing them into a unified platform for streamlined analysis. Data cleansing and preparation are also within their purview, ensuring data quality by eliminating duplicates, rectifying errors, and optimizing formats for easier analysis.Their expertise extends to data analysis, leveraging statistical and machine-learning techniques to unveil hidden insights and patterns. Through data visualization, eLuminous crafts clear and comprehensible representations to facilitate communication with stakeholders. Moreover, their data governance services establish secure and compliant data management frameworks.

Industries such as finance, healthcare, retail, manufacturing, and energy benefit from eLuminous’ big data prowess. Their services empower decision-making, offering actionable insights, real-time alerts, and efficient data pipelines. eLuminous excels in data warehousing, extracting data from various sources like CSV, MySQL, Salesforce, and Google Sheets. They offer comprehensive reporting, strategic dashboards, and self-service BI, transforming raw data into invaluable business intelligence.

With a global team of over 10,000 data specialists, Genpact turns raw data into actionable business intelligence, enabling organizations to make strategic, real-time decisions. Genpact’s PowerMe is a data intelligence platform equipped with an intelligent data catalog, automated lineage, and connected data quality capabilities. This platform empowers companies to efficiently manage and derive insights from their complex systems’ landscape. The platform caters to a diverse user base, including analytics consumers, data owners, data stewards, and IT teams, addressing a multitude of use cases such as establishing data marketplaces, tracing business metrics, migrating to cloud data platforms, and more.The company collaborates with leading cloud providers to deliver cutting-edge cloud services, with a strong focus on data security throughout the migration process. It taps into the power of automation, orchestrating and designing business processes to unlock the benefits of intelligent automation services and robotic process automation expertise, offering everything from advisory and strategy consulting services to complex AI implementations.

Genpact’s vast partner ecosystem integrates augmented intelligence into processes to manage data, extract insights, and recommend next steps at remarkable speed, transforming the way businesses operate. The firm’s Cora Data Foundation offers a low-code, ready-to-deploy solution that empowers organizations to source, curate, and enrich their data. This platform-agnostic solution leverages Genpact’s deep industry expertise within a pre-built library of configurable assets, spanning industries like finance and accounting, supply chain, insurance, high-tech, manufacturing, banking, and capital markets. Cora Data Foundation processes data at varying levels of granularity, from raw form to denormalized and aggregated, supporting analytical models and insight generation across multiple systems of engagement.

Google Cloud Platform (GCP) boasts a robust array of big data capabilities, underpinning data-driven transformations for organizations. At the forefront is BigQuery, a serverless, highly scalable cloud data warehouse, capable of handling petabyte-scale datasets. Dataproc complements it, offering managed Hadoop and Spark services for seamless big data processing. Real-time insights are achievable through Cloud Dataflow, a serverless streaming analytics service.Cloud Data Fusion streamlines data integration, while Cloud Pub/Sub enables real-time data ingestion and streaming into BigQuery and Dataproc. Managing metadata is simplified with Cloud Dataproc Metastore and Cloud Data Catalog. For orchestrating data workflows, Cloud Dataproc Pipelines offers a scalable Apache Airflow service.

Performance, scalability, cost-effectiveness, and security are inherent in Google Cloud’s infrastructure. With a commitment to innovation, GCP ensures access to the latest big data technologies, making it the preferred choice for organizations seeking to harness the power of data analytics.

HData Systems is a leading provider of data-driven solutions, harnessing the power of big data capabilities to drive business success. The company offers a wide range of services, from Data Science to Data Warehousing, Data Analytics, and more. Its team of experienced data analysts excels in operationalizing and supporting analytics in live business environments.The company’s core strength lies in Big Data Implementation, where it helps businesses make decisions based on insightful data and forecast future trends. It also offers Predictive Analytics to extract valuable insights and improve decision-making. IoT Analytics is another area where it excels, connecting data analysis with the Internet of Things to drive business value.

HData Systems’ Data Warehouse services enable organizations to harness data for better decision-making, and its DevOps services ensure efficient software development and delivery. The company also provides Microsoft Power BI services for interactive visualizations and business intelligence.

The firm also specializes in data migration, offering seamless transitions between storage systems and ensuring data integrity. Additionally, its expertise in Data Science helps clients extract meaningful insights, and the Data Visualization solutions offer in-depth analysis of complex data.

Furthermore, it provides predictive analytics to predict customer behavior and drive business strategies. This assists in churning prediction, recommendation systems, customer segmentation, and more. The Big Data services are designed to optimize decision-making with a focus on prescriptive, predictive, and descriptive analytics.

HPE boasts an extensive array of big data capabilities, encompassing robust software solutions that empower organizations to efficiently store, process, and analyze vast volumes of data. In addition to these software solutions, HPE offers a suite of services, including HPE Ezmeral Data Fabric Software, HPE Ezmeral Unified Analytics Software, HPE Machine Learning Development Environment, HPE Machine Learning Data Management Software, and more. The firm also provides consulting, training, and support, to assist in implementing and managing big data solutions effectively.The company’s big data capabilities address diverse business challenges, ranging from fraud detection to gaining valuable insights into customer behavior, optimizing asset utilization, mitigating risks, and ensuring regulatory compliance.

HPE also enables organizations to tap into the hidden potential of their data, offering solutions for real-time insights and smarter decision-making. It emphasizes AI/ML and analytics, database-optimized hardware and software, and cloud services to empower businesses to harness the full power of their data, as well as promote data science collaboration, and provide consistent access to secure, enterprise-grade versions of open-source frameworks.

Furthermore, HPE emphasizes the importance of data-first modernization, offering a strategic guide to simplify the journey toward data transformation in four steps. They advocate for unifying data, regardless of its source, to unlock its true value.

HPCC Systems’ innovative Data Lake Management Solution offers an end-to-end solution for handling vast datasets efficiently. At its core, High-Performance Computing Clusters (HPCC) empower high-speed data engineering, distinguished by its lightweight architecture, ensuring exceptional performance without the need for extensive development teams or costly add-ons.Key capabilities include Kubernetes architecture, ultra-performance computing, a high-productivity programming language, and robust analytics and machine learning support. HPCC’s open-source innovation fosters secure and reliable data management. The Machine Learning Library harnesses parallel computing for predictive modeling, while containerized deployments enhance flexibility.

Documentation and training resources aid users in tackling big data challenges, making HPCC Systems a versatile, flexible, and refined choice for end-to-end data lake management. With over a decade of innovation and open-source collaboration, HPCC Systems continues to lead the way in the realm of big data solutions, offering a simple, fast, accurate, and cost-effective platform for high-speed data engineering and enrichment.

IBM offers a comprehensive suite of big data capabilities through platforms like IBM Cloud Pak for Data, Watson Analytics, Cognos Analytics, and Data Science Experience. These tools facilitate data management, analytics, and machine learning. Combining Cloudera DataFlow and Cloudera Data Platform with IBM’s capabilities allows real-time data analysis. IBM is recognized as a leader in data quality solutions. Db2 Big SQL, IBM Big Replicate, and IBM Streams offer parallel processing and querying for diverse data sources, ensuring data consistency, facilitating cloud migration, and enabling real-time analytics.IBM Cloud Pak for Data automates data lifecycle management and connects data in hybrid cloud environments. It addresses data integration, governance, security, and insights. Overall, IBM’s big data capabilities empower organizations to leverage data for informed decision-making and innovation.

IBM’s recognition as a leader in Gartner’s Magic Quadrant for Data Quality Solutions in 2022 underscores its expertise in data management. Leveraging advanced AI, open-source-based cloud solutions, and self-service access to data, IBM empowers organizations to attain value faster and gain flexibility in data management. With real-time insights, access to various data sources, and support for on-premises, multi-cloud, and hybrid options, IBM equips enterprises to scale their data initiatives effectively.

Ideas2IT Technologies is a prominent player in the big data landscape, offering a comprehensive suite of services, including data wrangling, data lakes, data warehousing, visualization, and AI-powered automation. They excel in data preparation, modern cloud data warehousing, and Tableau consulting. Their data services focus on quality and usability, while their Big Data Application Development team utilizes a wide array of technologies such as Apache Spark, Hadoop, and Hive to implement and scale data science models and NLP algorithms, delivering real-world applications for end-users.The modeling experts at Ideas2IT Technologies employ R, Python, NLTK, and Weka to design complex mathematical models and NLP techniques that drive analytical solutions. Ideas2IT Technologies also offers MLOps expertise for managing big data infrastructure effectively. Beyond traditional RPA, they provide Intelligent Process Automation solutions infused with AI and machine learning. Overall, Ideas2IT empowers organizations to harness the full potential of their data for innovation and informed decision-making.

InData Labs offers a comprehensive suite of services that transform raw data into actionable business insights. Their approach revolves around the concept of “insights-as-a-service,” where data pipelines are meticulously designed to align with a company’s specific goals. This commitment to tailoring solutions begins with a thorough review of existing business processes and objectives.Once the foundation is set, InData Labs takes charge of collecting, cleaning, and structuring data for analysis and visualization. Its expertise extends to crafting data pipelines, whether for real-time data streaming, batch processing, or lambda architecture, and constructing data lakes and warehouses for efficient data storage and retrieval. The company leverages artificial intelligence to build custom models that simplify decision-making, enhance operational efficiency, and provide cost-cutting measures. Through data visualization, they empower businesses to reshape strategies and stay competitive in the market.

InData Labs follows a systematic approach to deliver these capabilities from business challenge review to data collection and preparation, data analysis, business implementation, architecture analysis, and improvement, big data pipelines, and data analysis and visualization. The company doesn’t stop at data analysis; they offer a complete range of services, including Data Warehouse Consulting, Data Lake and Warehouse Engineering, BI and Visualizations, and Data Warehouse Modernization. Their multidisciplinary expertise supports companies of all sizes in improving strategic decision-making and establishing data consistency.

Integrate.io is a global team of talented data software professionals working to revolutionize how companies leverage their data for smarter decision-making. Its cloud-based platform simplifies the integration, processing, and preparation of data for analytics, eliminating the need for substantial investments in hardware, software, or specialized personnel.With over 220 pre-built transformations, the company empowers businesses to connect to various data sources seamlessly. Its ETL and Reverse ETL capabilities enable efficient data movement, while API generation and data observability tools enhance real-time decision-making. Furthermore, Integrate.io’s platform offers complete scalability, ensuring smooth data management from small datasets to massive volumes. It prioritizes automation, making ELT and CDC processes hassle-free. The company’s flexible scheduling and full customization options cater to diverse needs, while unified analytics and insights provide a holistic view of your data.

Integrate.io also excels in API generation, with the ability to create fully documented REST APIs in minutes. Customize APIs, manage authentication, and employ custom scripting effortlessly. Its data observability features guarantee data reliability, aligning upstream data owners and maintaining data credibility. When it comes to warehouse insights, the company’s platform offers optimized dashboard performance, real-time analytics, and cost optimization recommendations. It automatically captures metadata, provides table dependencies visualization, and conducts behavioral analysis without any need for coding.

Innowise Group provides cutting-edge solutions with the help of its team of skilled big data developers who excel in crafting solutions that efficiently handle vast data volumes, transforming them into actionable insights for informed decision-making.The company’s comprehensive suite of big data development services covers a wide spectrum of needs like Big Data Consulting, Big Data Analytics, Big Data Management, Big Data Visualization, Data Quality Management, Big Data Testing, Data Migration, Big Data Mining, Big Data Development, Data Integration, Big Data Automation, and Dedicated Data Engineers.

The company caters to businesses of all sizes, from startups to corporations, delivering innovative big-data solutions that drive growth and competitiveness in the digital age. It also specializes in Data Management Automation, Data Science, Data Security, Data Engineering, and more.

The company uses advanced tools that elevate data management, enable trend forecasting, and assess data accuracy, evaluability, and consistency, mitigating losses and errors. Its AI solutions empower businesses with self-learning algorithms, driving ROI-focused adjustments and its efficient automation accelerates data processing, facilitating faster insights and decisions. The company also offers customized solutions, creating comprehensive data representations through dashboards, storyboards, and reports.

Intellias empowers organizations with robust big data capabilities that span the spectrum of data management, analytics, and monetization. Through its expertise in Big Data Engineering, the company facilitates unparalleled control over cloud data environments. It seamlessly orchestrates multiple concurrent data pipelines, optimizing efficiency.The firm’s Data Engineering services leverage advanced tools to extract actionable insights from real-time, large-scale data sets. The service unifies structured, semi-structured, and unstructured data from various sources, creating a comprehensive environment for modeling and predicting market opportunities.

Intellias offers a comprehensive suite of big data services, including consultation, strategy definition, infrastructure maintenance, and support. It deploys proprietary frameworks and open-source technologies like Apache Hadoop, Spark, and Kafka, bolstered by machine learning and deep learning algorithms.

The company’s Big Data Consulting enhances existing solutions, defines product strategies, and identifies ideal technologies for revenue generation. It crafts data warehouse and data lake solutions, streamlines ETL processes, and facilitates data transformation for further analysis.

It also employs statistical and machine learning techniques for swift insights. The firm’s Data Visualization feature ensures 360-degree visibility, making analytics accessible to all levels. Intellias safeguards data with robust security measures, adhering to standards, implementing access controls, and ensuring efficient backup and recovery. It also enables Data Monetization by embedding analytics into products and services, enabling improved business performance, customer loyalty, and the discovery of growth opportunities.

ITMAGINATION builds cutting-edge data solutions tailored to customer needs. Its data ingestion solutions, data platforms, and analytical modules boast state-of-the-art capabilities. Meticulously migrating data with a focus on quality and consistency, the company integrates systems across various technology platforms. Their services entail information strategy, cloud migration, system integration, advisory, architecture, data processing, and big data analytics. These services empower clients to harness the power of big data to analyze customer bases, market conditions, and operational processes, enabling consistent growth.Its offerings also include data ingestion, ETL, warehousing, data lakes, real-time processing, and cloud-based platforms. Leveraging Microsoft, Google, AWS, Oracle, and open-source technologies on cloud platforms, the company provides self-service reporting tools, liberating business users from IT dependencies.

ITMAGINATION also specializes in data science and machine learning, offering segmentation, predictive analytics, classification, computer vision, text mining, and more with solutions that are designed to help customers monetize data insights.

From data migration and ETL/ELT services to master data management and data warehousing, Marlabs ensures data is efficiently managed and accessible for analysis. They excel in big data deployment and implementation, harnessing the power of large datasets. Their data API engineering facilitates seamless data integration, and their expertise in analytical model development delivers valuable insights and predictions.The award-winning mAdvisor™ Auto ML solution automates data interpretation, while automated pattern discovery and prediction tools unveil hidden insights. Marlabs also enables data storytelling through Natural Language Generation and advanced text analytics.

In the realm of ML-Ops, they cover the entire machine learning lifecycle, emphasizing model interpretability and addressing bias and risks. For healthcare organizations, Marlabs offers a HIPAA-compliant de-identification framework.

Their cloud-ready data lake solutions and data ingestion frameworks cater to evolving cloud computing needs, while DataOps methodologies streamline data pipelines.

Microsoft’s Azure platform offers a comprehensive suite of big data capabilities that cater to a wide range of data challenges. From data storage and processing to real-time analytics, IoT device management, and machine learning, Microsoft’s big data services are designed to be easy to use and scalable, enabling organizations of all sizes to harness the power of big data. By leveraging Azure’s robust ecosystem, businesses can unlock valuable insights, drive innovation, and make data-driven decisions in a rapidly evolving data landscape. Below are some of the big data services that Microsoft provides.

• Azure Data Lake Store: Azure Data Lake Store is a scalable and secure data lake designed for storing vast amounts of both structured and unstructured data. Data Lake Store provides a unified repository that allows organizations to break down data silos and efficiently manage data at petabyte scale. With features such as fine-grained access control and encryption, Data Lake Store ensures data security and compliance while enabling seamless data ingestion and retrieval.
• Azure Data Lake Analytics: Complementing Data Lake Store, Azure Data Lake Analytics offers a managed Hadoop and Spark service for processing big data. This service empowers data engineers and data scientists to run complex analytics and extract valuable insights from massive datasets, due to the scalability and parallel processing capabilities of Azure Data Lake Analytics.
• Azure Synapse Analytics: Azure Synapse Analytics is a unified analytics platform that seamlessly blends data warehousing and big data analytics. It enables organizations to analyze data from various sources, including Data Lake Store and structured databases, using familiar SQL-based queries. Synapse Analytics provides both on-demand and provisioned resources, allowing users to scale resources as needed, making it ideal for real-time and batch processing of big data.
• Azure Stream Analytics: Azure Stream Analytics enables the processing and analysis of data streams in real-time. Whether it’s monitoring IoT devices, analyzing social media feeds, or processing telemetry data, Stream Analytics can handle high-velocity data streams efficiently. With its integration capabilities, organizations can act on insights immediately, optimizing processes and enhancing customer experiences.
• Power BI: To make data-driven decisions, organizations need intuitive tools for data visualization and analysis. Power BI is Microsoft’s business intelligence (BI) platform that allows users to create interactive reports and dashboards. With Power BI, organizations can transform raw data into meaningful insights and share them with stakeholders. It offers integration with other Azure services, enhancing its capabilities for big data analysis.

MicroStrategy’s big data capabilities empower organizations to harness the full potential of their data resources by offering a versatile range of options for data integration, warehousing, analytics, and visualization. One key strength of MicroStrategy lies in its seamless integration with various Big Data SQL engines, including Hive, Impala, and Drill, enabling users to apply familiar SQL queries to Big Data sources. Customers can adopt different approaches to leverage Big Data within MicroStrategy:

• In-Memory Approach: This method involves pulling subsets of data from a Big Data source into an in-memory cube. This approach ensures lightning-fast analytical performance but is best suited for situations where data volumes are manageable and don’t overwhelm the server’s memory. It’s ideal when data is aggregated, the database is slow, or data security can be managed at the BI level.
•  Connect Live Approach: When real-time, up-to-date data is essential, the connect-live approach shines. It enables users to access data directly from the source, ensuring that the latest information is used for analysis. This approach is suitable for responsive databases, frequently updated data, and cases where data volumes exceed in-memory limits or require scheduled deliveries based on database-level security.
• Hybrid Approach: For scenarios where a balance is needed between speed and data depth, MicroStrategy’s dynamic sourcing technology comes into play. This approach allows for a combination of in-memory and live data access, making it possible to start with aggregated data in memory and seamlessly drill down to lower-level details in the Big Data system. It’s perfect for providing users with quick initial insights while maintaining the ability to explore more extensive datasets when necessary.

In addition to these access methods, MicroStrategy provides comprehensive data integration, warehousing, analytics, dashboarding, and mobile BI capabilities. Their focus on security, consulting services, and training courses further enhances their offerings, making MicroStrategy a valuable partner in the world of Big Data analytics.

MongoDB’s Atlas Data Lake is a powerful tool that allows users to analyze data over time while ensuring minimal impact on production applications. The company provides several services like Data Transformation and Optimization, Cost-Effective Storage, Analytical Query Optimization, Fully Managed Integration, Schema Analysis and Optimization with Compass and more.These services allow data to be ingested and transformed, where it undergoes reformatting, partitioning, and thereby creating partition indexes. This transformation process prepares the data for large and complex queries, making it easier to analyze without affecting the performance of your primary database. It also provides customers with economical cloud object storage and analytical querying with shorter query runtimes, reducing operational expenses.

Atlas Data Lake seamlessly integrates into the MongoDB developer data platform and is easily provisioned alongside your Atlas Database with minimal setup or management efforts. MongoDB’s GUI tool offers comprehensive schema analysis, index optimization, and aggregation pipeline creation within a single, centralized interface. The company also provides Visual Querying and Aggregation, Data Import and Export, and more. 

MuleSoft’s Anypoint Platform™ provides robust solutions for organizations aiming to leverage big data effectively. It overcomes integration challenges, supports real-time operations, and provides a holistic approach to data management, making it a valuable asset for organizations looking to derive insights from high-velocity, high-variety, and high-volume data. This platform addresses common challenges in modern big data integration like real-time data capture, ingestion, and processing; seamless integration of NoSQL databases into the broader IT architecture; visualizing data through charts, graphs, and dashboards; and data governance by enforcing policies and best practices.The company recognizes the importance of BI data in enhancing customer experiences. It supports the creation of a holistic customer 360-degree view by integrating various data sources, ensuring companies can understand their customers’ needs and interactions. It also provides pre-built connectors for popular big data platforms such as Hadoop, Spark, and Hive. These connectors streamline the integration process, allowing organizations to quickly tap into these platforms’ capabilities.

Mu Sigma big data analytics software serves as a versatile and indispensable tool, facilitating every step of the analytical journey. From defining and mapping the problem to discovering and operationalizing analytical solutions, Mu Sigma’s software streamlines the entire process. The company has also developed a range of utilities and tools, including statistical analysis software and big data visualization and reporting tools like muOBI, muPDNA, muDSC, muIDA, and muUniverse.Beyond software and tools, Mu Sigma provides a spectrum of data-related services. This includes data consulting, end-to-end data analytics, machine learning, cloud computing solutions, IoT analytics, and regulatory compliance support. Through these offerings, Mu Sigma empowers organizations to understand their data, build predictive models, deploy scalable solutions, and ensure compliance with data regulations.

Mu Sigma’s approach is complementary rather than disruptive. Their solutions seamlessly integrate with existing technology ecosystems, augmenting the value of infrastructure investments made by Fortune 500 companies. muAoPS™, Mu Sigma’s Art of Problem Solving product, further exemplifies their commitment to holistic problem-solving. It empowers organizations to plan, visualize, encode, and harmonize analytics decisions, driving transformative outcomes.

NashTech‘s big data strategy and analytics expertise harness the power of advanced analytics, transforming data into actionable insights for marketing, pricing, customer service, and more. They assess the data ecosystem’s maturity, build skills and processes, and deploy cutting-edge technology. Modern data governance is pivotal in maximizing data quality, security, and value, aligning with digital transformation.NashTech offers a data and digital platform, separating the data layer from legacy IT to enhance agility and scalability. Its database management ensures responsive, secure, and accurate data reports, while API and spreadsheet data ingestion, database performance tuning, data security compliance, data containerization, and data mesh strategies optimize data management. NashTech delivers the future-ready data solutions needed in the evolving landscape of data-driven decision-making.

Netguru’s big data capabilities help businesses unlock the full potential of their data, allowing companies a competitive edge and streamlining their decision-making processes, leveraging data insights to make more accurate choices. This, in turn, leads to reduced costs and increased revenue by allowing companies to act proactively and avoid missed opportunities.Netguru excels in increasing operational efficiency through the creation of dashboards, reports, and alerts that can adapt quickly to evolving business needs. Furthermore, the improved accessibility of information ensures that meaningful insights are presented promptly to relevant users, facilitating better-informed decisions across the organization.

The company’s comprehensive services span BI consulting, data modeling, embedded analytics, and complementary data science solutions, covering every phase of the data analytics process from data collection and preparation to analysis, reporting, and acting on insights. Their structured approach ensures that businesses can effectively harness the power of their data, fostering growth and success in an increasingly data-driven world.

Oracle’s big data services offer a comprehensive suite of tools and capabilities that empower data professionals to efficiently manage, catalog, and process raw data, unlocking its full potential for analysis and insights. These services are an integral part of Oracle’s cloud infrastructure and are designed to simplify and streamline the entire data lifecycle.One of the core features of Oracle’s big data services is its robust storage options, including object storage and Hadoop-based data lakes. These data lakes enable the persistence of vast amounts of data, while the integration with Apache Spark provides powerful processing capabilities, leveraging tools like Oracle Cloud SQL or their preferred analytical platforms.

Oracle’s integrated solution goes beyond just storage and processing. It encompasses data management, integration, and data science, creating a cohesive environment for analytics teams. The fully managed, serverless Apache Spark clusters accessible via APIs, simplify the development process and reduce workload. Oracle also offers fully managed Hadoop clusters that can be easily customized for specific requirements, with built-in security and high availability features.

The company allows customers to deploy these services in Oracle Cloud data centers or even in their own data centers as part of a Dedicated Region Cloud@Customer environment, catering to data residency and latency needs. To streamline data management and discovery, the Oracle Cloud Infrastructure Data Catalog comes into play. It helps data professionals search, explore, and govern data assets across the organization, offering a unified view of metadata and simplifying the creation of business glossaries.

SAP’s extensive suite of big data capabilities offers a robust set of tools and features designed to empower businesses in effectively managing, analyzing, and deriving insights from large volumes of data. These capabilities cover various aspects, including data access and integration, data quality management, high performance, scalability, connectivity and integration, data profiling, and text data processing.SAP facilitates seamless access and integration of data from both SAP and third-party sources through native connectors. The platform’s intuitive user interfaces ensure standardized, corrected, and matched data, reducing duplicates and establishing meaningful relationships. Robust data quality dashboards provide insights into data quality issues across downstream systems while simplifying data governance, and a centralized business rule repository ensures consistency.

To meet high-volume data processing needs, SAP offers high-performance solutions with parallel processing, grid computing, and bulk data loading. The platform supports connectivity to data sources in 31 languages, enabling access to data anytime, anywhere. Tight integration with SAP applications and compatibility with third-party solutions contribute to a versatile and connected data ecosystem.

Another interesting feature SAP provides is SAP HANA, which involves leveraging its processing power for maximum performance through an intelligent optimizer. The platform supports various integration methods, including ELT, replication, and federation, catering to diverse data sources. Remote Data Syn facilitates two-way synchronization between SAP HANA and SAP SQL Anywhere databases, ensuring data availability in remote locations.

Security and compliance are crucial in SAP’s big data capabilities, treating data as a high-value asset. The platform ensures secure data access through public key encryption, maintaining data relevance and relationships while safeguarding sensitive information.

Teradata’s suite of big data solutions, an amalgamation of consulting, architecture, and technology, spans the entire analytics lifecycle. From the initial strategy and design phases to ongoing support and training, these services are designed to foster collaboration and deliver tailored business value. Teradata Velocity, a specialized service, incorporates a three-step approach involving advising and building solutions, designing and implementing robust data and analytics frameworks, and optimizing and managing solutions for long-term success.The company’s Teradata AI Unlimited with Microsoft Fabrics provides a serverless AI/ML engine in the cloud, promising organizations faster, more accessible, and cost-effective solutions. The company has also integrated AI into its Vantage platform, providing businesses with the tools to automate tasks, enhance decision-making processes, and gain valuable insights from their data.

ClearScape Analytics, a vital component of Teradata’s offerings, focuses on scaling AI and ML models effectively, addressing complex challenges, reducing costs, and expediting time-to-value. The deployment options offered by Teradata, such as public cloud, hybrid cloud solutions, and on-premises deployment with purpose-built infrastructure, further showcase the company’s commitment to flexibility and meeting the unique requirements of its clients.