MapR Technologies Turbocharges Apache HBase Applications
San Jose, CA
Latest M7 release quadruples throughput and eliminates latency spikes

Leveraging its world-record setting Hadoop performance, MapR Technologies, Inc., the Hadoop technology leader, has updated its M7 edition to dramatically improve Apache HBase™ application performance with throughput that is 4-10x faster while eliminating latency spikes.

HBase applications can now benefit from MapR’s high performance platform to address one of the major issues for on-line applications, consistent read latencies in the less than 20 millisecond range across varying workloads.

“Our customers are moving Hadoop from pilot adoption and project use to mainstream enterprise deployments,” said John Schroeder, CEO and cofounder, MapR Technologies. “MapR customers are experiencing the same reliability and enterprise-level performance with our distribution as they have seen with the Oracle platform at a fraction of the cost.”

Companies have been migrating to M7 from Oracle, MySQL and other NoSQL databases. These companies are choosing MapR to provide the reliability and performance characteristics that they need for mission critical and online applications.

“MapR provides consistent reliability that is essential to our business and takes HBase performance and manageability to a whole new level,” said Scott Russmann, Solutionary’s director of software engineering. “With MapR, our systems can survive failures, all while running in production with no down time. MapR absolutely broke out as an innovator in the Hadoop world.”

MapR is able to achieve such performance through its innovations that provide differentiated features, such as:

•   Architecture that persists table structure at the file-system layer;
•   No compactions (I/O storms) for HBase applications;
•   Workload-aware splits for HBase applications;
•   Direct writes to disk (vs. writing to an external file system);
•   Disk and network compression; and
•   C++ implementation that does not suffer from garbage collection problems seen with Java applications.

“HBase’s biggest limitation is regarding consistent and deterministic performance,” said John Webster, senior partner, Evaluator Group. “MapR has addressed these limitations and provides support for online applications in a production data center setting.”

MapR M7 Edition is available now for download for on-premise use as well as for cloud deployments with Amazon EMR and the Google Cloud Platform.

About MapR Technologies

About MapR Technologies

MapR enables organizations to create disruptive advantage and long-term value from their data with the industry’s only Converged Data Platform, which delivers distributed processing, real-time analytics, and enterprise-grade requirements across cloud and on-premise environments–while leveraging the significant ongoing development in open source technologies including Spark and Hadoop. 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 50,000 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 Future Fund, Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.

Media Contacts

Beth Winkowski
MapR Technologies, Inc.
(978) 649-7189

Kim Pegnato
MapR Technologies, Inc.
(781) 620-0016