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Big Data 50 - The Top 50 Companies Driving Big Data Innovation

ParStream provides an analytics platform built to handle the massive volume and high velocity of IoT, powered by a patented database recognized for performance with sub-second query response times in analyzing billions of rows of data and additional tools, including geo-distributed analytics.

A provider of Pivotal HD, an Apache-compliant Hadoop distribution based on Open Data Platform core, Pivotal enables a modern approach to IT innovation, with its agile development services, an open cloud platform, and a suite of big data products to create a framework that increases data leverage, accelerates application delivery, and decreases costs.

Progress Software Corp.
Understanding that cloud, mobile, big data, and social networks are transforming the nature of business, Progress is a global software company that aims to simplify the development, deployment, and management of business applications on-premise or in the cloud, on any platform or device, to any data source.

Qlik offers a next-generation analytics product family that offers self-service data visualization, reporting, dashboards, guided analytics, and embedded analytics, as well as a data discovery platform for creating and deploying rich, guided analytics applications via a native scripting environment.

Managed-cloud company Rackspace helps businesses gain the benefits of cloud computing without the challenge and expense of managing complex IT infrastructure and application platforms on their own and delivers specialized expertise on top of leading technologies developed by OpenStack, Microsoft, VMware, and others.

RedPoint Global
Helping organizations take advantage of their data to drive customer engagement and growth, RedPoint Global offers cross-channel marketing and ETL/ELT, data quality and data integration applications that operate in and across both traditional and Hadoop 2.0/YARN environments.

Dale Renner

Big Data Trailblazer by Dale Renner, CEO 

Progressive organizations are looking to data to drive competitive advantage. Big Data and Hadoop have a lot to offer them. Benefits include: running operations more effectively, improving customer engagement and growing revenues. To this end companies are pulling in more types of data, from more sources, and at faster rates than ever. Their goal: to monetize their data and the insights derived from them. Their challenge: to successfully integrate this data and assure data quality. However, accessing new data sources and simplifying data processing operations are often contradictory objectives. To reach their goal, companies must be able to rapidly ingest, cleanse, integrate, and match all their data (structured and unstructured). 

To supercharge this effort, companies are learning the value of deploying a single data management tool that integrates all these capabilities through a graphical drag/drop UI. It enables business users, those most familiar with data use cases, to play active and, even, self-service roles in preparing aggregations for consumption by analytics and legacy applications. RedPoint Data Management™ delivers unique value in loading big data, integrating it with primary data, and achieving high quality in probabilistic matching and master key management.

RedPoint customers are maximizing value from their data, as demonstrated in Gartner’s 2015 Critical Capabilities for Data Quality Tools report, where RedPoint received the highest scores in Operational/Transactional Data Quality and Data Integration use cases, third highest in Big Data and Information Governance initiatives, and upper quartile ratings in 6 out of 6 use cases reviewed.

RedPoint Global


A leader in enterprise applications, analytics, and mobile enterprise management, SAP provides SAP HANA, its flagship platform for next-generation applications and analytics that converges database and application platform capabilities in-memory to support transactions, analytics, text analysis, predictive, and spatial processing so businesses can operate in real time.

SAS Institute, Inc.
From its origins as a project at North Carolina State University to analyze agricultural  research, SAS has grown to be a leader in business analytics software and services, giving customers around the world at more than 75,000 sites  “the power to know.” 

Sinequa, which provides analytics that combine semantic analysis in 20 languages with statistical analysis to extract relevant information from data spanning textual data from documents, emails, websites, and social networks, as well as database data from enterprise applications, has developed more than 140 connectors to enable customers to quickly access and absorb the variety of content inherent in big data.

Providing a full stack of business intelligence and analytics software, Sisense specializes in tools to enable non-tech-savvy users to join multiple large datasets from structured and unstructured data sources, build smart dashboards, and share with other users.

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