MapR Receives 3rd Highest Scores for Logical Data Warehouse & Context Independent Use Cases in Gartner’s 2016 Critical Capabilities for DW and DMS for Analytics
July 28, 2016
MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced that Gartner, Inc. has recognized MapR for its Converged Data Platform offering receiving the 3rd highest product scores for the Logical Data Warehouse and Context Independent Data Warehouse, two of four Use Cases in the July 2016 Critical Capabilities for Data Warehouse and Data Management Solutions for Analytics report. Nineteen providers were evaluated to help data and analytics leaders, business intelligence (BI) strategists and advanced analytics implementation teams to evaluate vendor offerings’ based on the 11 most important functional capabilities that are required to support the major use cases identified.
Gartner's Critical Capabilities reports complement their Magic Quadrant analyses, providing deeper insight into the products and services offered in a region by multiple vendors. MapR is named a Visionary in the Gartner February 2016 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics.
“We’re pleased that the MapR Converged Data Platform received the 3rd highest product scores for logical and context data warehouse use cases which we believe validates some of the value we provide, particularly relative to our most direct competitors,” said Jack Norris, senior vice president, data and applications, MapR Technologies. “But it is also important to realize that our customers are combining data warehouse functionality with additional NoSQL, streaming capabilities, and real-time analytics on a converged platform in order to create new, innovative applications to accelerate business results.”
The MapR Platform integrates Hadoop and Spark, real-time database capabilities, and global event streaming with web-scale storage, for developing and running innovative data applications in a single cluster. The MapR Platform is powered by the industry’s fastest, most reliable, secure, and open data infrastructure that dramatically lowers TCO and enables global, real-time, data-driven applications.
Addressing streaming, operational, and analytical use cases, the MapR Platform delivers a comprehensive set of technologies including SQL capabilities via Apache Drill and other SQL-on-Hadoop engines. The MapR Converged Data Platform includes several core components:
- Apache Hadoop – an open source framework for processing large volumes of data across many commodity servers, running on the utility-grade MapR Platform Services for a more powerful and protected production big data deployment
- Apache Spark – an increasingly popular open source in-memory data processing engine that enables faster application development and higher performance, with complete support from MapR for the entire stack
- MapR Event Store - a global publish-subscribe event streaming system for big data
- MapR Database - a high performance, in-Hadoop NoSQL database management system
- MapR XD - the underlying POSIX file system that provides distributed, reliable, high performance, scalable, and full read/write web-scale data storage
About the Gartner Critical Capabilities Report
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1 Gartner, Critical Capabilities for Data Warehouse and Data Management Warehouse Solutions for Analytics- Rick Greenwald, Mark A. Beyer, Roxane Edjlali. Published: 13 July 2016
About MapR Technologies
MapR Technologies is a visionary Silicon Valley software company and creator of the next-generation data platform for AI and analytics, with the scale and reliability required by enterprise-grade, mission-critical deployments. The MapR Data Platform delivers the power of dataware to accelerate data-driven innovation. Forward leaning companies such as Cisco, Philips, and Société Générale, are able to create new data-driven solutions to outperform the competition. Learn more: mapr.com.
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