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DataStax Receives Highest Scores in 2 Use Cases in Gartner's Critical Capabilities for Operational Database Management Systems

DataStax, the leading provider of database software for cloud applications, today announced that Gartner, Inc., the leading provider of research and analysis on the global information technology industry, has given it the highest Product Score in the Distributed Variable Data use case and the highest Product Score for the Lightweight Events and Observations use case in their October 2016 Critical Capabilities for Operational Database Management Systems.

"Modern cloud applications used by every business to provide engaging and personalized customer experiences demand a distributed, responsive, and intelligent data layer that cannot be supported by older, legacy technologies," said Robin Schumacher, Vice President of Products, DataStax. "We believe receiving the highest scores in two out of four use cases in Gartner's report is further validation that DataStax Enterprise, in our opinion, is the platform of choice for data-driven applications that require synchronization across geographies, datacenters and multiple cloud providers."

The Critical Capabilities report synthesizes product information provided by vendors, information gathered from interactions with Gartner clients over the past 12 months, and relevant responses from their survey of the vendors' reference customers (852 responses), performed during May 2016. According to the report, Lightweight Events and Observations "captures IoT-style edge events, usually with a small local footprint, and cloud/hybrid deployment. May include staged processing and transmission to other process components." The report also describes Distributed Variable Data as data that "requires automated data distribution and management, multimodel support for several data types and structures, and flexible schemas that may change often."

Receive a complimentary copy of Gartner's Critical Capabilities for Operational Database Management Systems, please visit here.

Published Tuesday, October 18, 2016 1:13 PM by David Marshall
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