MapR Converged Data Platform delivers performance and reliability at scale
SAN JOSE, Calif.–(BUSINESS WIRE)–January 20, 2016–
MapR Technologies, Inc., provider of the only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, today announced that it was among the select companies that Forrester Research, Inc. invited to participate in its January 2016 report entitled, The Forrester Wave™: Big Data Hadoop Distributions, Q1 2016. In this evaluation, MapR was cited as a Leader and had the highest score in the current offering architecture criterion.
According to the Forrester report, “MapR Technologies innovates to deliver extreme performance and reliability at scale. From day one, MapR Technologies’ strategy has been to engineer a distribution that would allow Hadoop to reach its full performance and scale potential with minimal effort. Enter MapR Technologies’ linchpin – the MapR file system which implements the HDFS API, is fully read/write, and can store trillions of files (versus the complex configuration for HDFS that requires separated namespaces). MapR has also done more than any other distribution vendor under the covers of Hadoop to deliver a reliable and efficient distribution for large-cluster implementations. Its customers typically have or are planning large, mission-critical Hadoop clusters and want to use MapR-DB and MapR Streams (which implement the HBase and Kafka APIs, respectively).”
Only the MapR Converged Data Platform brings together the power of Hadoop and Spark with global event streaming; real-time, top-ranked NoSQL database capabilities; and enterprise storage. The MapR Platform provides the fastest, most reliable, secure and open data infrastructure that dramatically lowers TCO and enables global real-time data applications.
“Architectural innovations in the MapR Converged Data Platform enable our customers to power business-critical apps that require immediate analysis of data and 24/7 uptime using Hadoop, Spark, and more,” said Jack Norris, chief marketing officer, MapR Technologies. “Unlike other Hadoop distributions that run separate clusters for multiple applications, MapR is built to process distributed files, database tables, and event streams in one unified cluster. This advanced architecture uniquely supports both real-time operational and analytic apps, significantly reducing costs and complexity as customers scale their big data deployments.”
To access a copy of The Forrester WaveTM: Big Data Hadoop Solutions, please visit here
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1“The Forrester WaveTM: Big Data Hadoop Distributions, Q1 2016, January 2016. Copyright (c) 2016, Forrester Research, Inc.
About MapR Technologies
MapR provides the industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that 45,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.
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