1010data named a Challenger for fifth consecutive year
NEW YORK, March 8, 2016—1010data, Inc., the only integrated platform that combines self-service data management and analytics at scale with ready-to-use data sets while also allowing users to share data and applications between companies, today announced that the company has been positioned in the “Challengers” quadrant in Gartner’s 2016 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics.
In the report, Mark Beyer and Roxane Edjlali from Gartner note that, “Organizations now require data management solutions for analytics that are capable of managing and processing internal and external data of diverse types in diverse formats, in combination with data from traditional internal sources.”
“At 1010data, we believe that our proven ability to deliver actionable insight from very large amounts of disparate data more quickly and inexpensively than other vendors allows our customers to stay on the leading edge of analytics” said Sandy Steier, CEO and Co-founder of 1010data.
A complimentary copy of the report can be obtained here.
Because 1010data has been built as a single, integrated cloud-based platform, users have all of the analytical tools and data they need on a purpose built platform. 1010data enables users with little knowledge of complex programming languages to quickly and easily create powerful analytic applications on top of Big Data in minutes. With 1010data’s QuickApps, users can create everything from form-based analyses and management dashboards to complex applications that provide business users with the exact information they need in the precise form the need it. This enables all levels of an organization to rapidly get answers to the questions critical to their business goals.
“We are honored to be recognized by Gartner as a Challenger in the 2016 Magic Quadrant Data Warehouse and Data Management Solutions for Analytics,” said Steier. “1010data continues to drive innovation in the marketplace by taking a different approach to Big Data analysis and delivering best-in-class solutions that provide real ROI to our customers.”
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