Latest Release of the MapR Distribution Including Hadoop Enables the Real-Time, Data-Centric Enterprise
February 18, 2015
Advanced platform supports globally-distributed, big and fast data applications to impact business “as it happens”
MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced at Strata + Hadoop World the latest release of the MapR Distribution including Hadoop, which has new features that accelerate the data-centric enterprise by supporting real-time applications on globally-distributed, big and fast data.
The latest innovations from MapR optimize data architectures, making them more agile, scalable, and data centric. MapR helps organizations impact business “as-it-happens” through automated processes that shorten data-to-action cycles. New features include cross data center table replication for MapR-DB, the top ranked NoSQL solution that is integrated into the MapR Distribution including Hadoop.
"MapR continues to deliver innovative enterprise solutions that just work," said Manny Puentes, CTO, Altitude Digital. “MapR-DB table replication is a powerful new feature that enables real-time, bi-directional updates across data centers at scale. MapR puts data at the forefront to give our business a competitive advantage.”
“Businesses continue to push the boundaries of real-time analytics in Hadoop, but can be challenged by a geographically-dispersed environment,” said Nik Rouda, senior analyst, Enterprise Strategy Group. “With the new product release from MapR, data is no longer tied to one site and can instead have global relevance. Live data updates across multiple clusters can be shared and analyzed immediately with the speed and reliability needed for enterprise operations.”
The newest MapR Distribution including Hadoop, version 4.1, now contains:
- MapR-DB table replication - extends access to big and fast data by enabling multiple, active replica clusters across the world with real-time, asynchronous replication. Table replication also delivers real-time disaster recovery to reduce the risk of data loss upon site-wide failure. This active-active, cross-datacenter capability also enhances global application deployment for Hadoop and big data. Operational data can be stored and processed close to the users or devices, while immediately replicating all live data to a central analytics cluster in real time to enable large-scale analytics on enterprise-wide data. MapR-DB was recently recognized by an independent research firm as the highest scored NoSQL key-value database for current offering among all reviewed vendors.*
- A new MapR POSIX client – provides NFS access to applications running on edge nodes with speed and security advantages. The MapR client boosts performance by leveraging compression and parallel access, as well as providing authentication and encryption to ensure secure data access.
- A new C API for MapR-DB - gives the huge talent pool of application engineers who code in C the ability to write real-time Hadoop applications.
“Extending capabilities for the data-centric enterprise provides an unprecedented level of analytical efficiency and automation that can result in high-impact outcomes,” said Anil Gadre, senior vice president, product management, MapR Technologies. “The newest release of the MapR Distribution extends real-time processing and analysis of big and fast data on a global basis, enabling businesses to impact business “as it happens.”
Version 4.1 of the MapR Distribution is available now.
MapR is showcasing its top-ranked, utility-grade Hadoop Distribution architected for real-time, data-centric enterprises this week at Strata + Hadoop World in booth #1009.
*"The Forrester WaveTM:, NoSQL Key-Value Databases, Q3 2014_. Copyright (c) 2014, Forrester Research, Inc._
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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