MapR Technologies' M7 improves Apache Hadoop

Summary:MapR Technologies is pushing to make Big Data solutions live up to its promise of helping organizations move decision-making from a seat-of-the-pants exercise to a systematic and repeatable process. The company's M7 improves Apache Hadoop's performance, reliability, integration and ease of use

MapR Technologies M7

MapR Technologies has been a major proponent of Apache Hadoop since its inception. The company has sought to improve the performance, the reliability and the ease of use of Hadoop. The recently announced M7 takes this several steps farther than the last product, M5.

Here's what MapR has to say about M7

MapR Technologies, Inc., today announced at O’Reilly Strata Conference + Hadoop World 2012 that it is bringing unprecedented Hadoop and NoSQL capabilities together on an easy, dependable and fast platform. With MapR M7, Big Data operations ranging from batch analytics to real-time database functions can be performed with enterprise-grade reliability and protection.

One of the core benefits of M7 is making HBase enterprise grade with instant recovery from hardware and software failures, disaster recovery and full data protection with snapshots and mirroring. Even with multiple hardware or software outages and errors, applications will continue running without any administrator actions required.

M7 increases the performance of HBase to unprecedented levels. First, by eliminating the need for compactions, M7 provides uniform and consistent performance. Second, by utilizing innovative data structures that minimize the read- and write-amplification factor, inserts and updates are much faster. M7 also supports in-memory columns, providing more options to increase database performance.

HBase scalability has also been improved dramatically. M7 users can create more than a trillion tables. With M7, HBase has more than 20X the number of column families and has increased row and cell sizes to handle large data objects.

M7 greatly simplifies HBase administration by ensuring there are no separate processes to monitor and manage, no manual compactions, no manual region merges, no pre-splitting, no manual database repair operations and no downtime for standard maintenance.

MapR M7 is binary compatible with Apache HBase. Customers do not need to recompile or change code to take advantage of the enterprise-grade features. M7 also supports Apache HBase within the same cluster.

M7 also expands HBase use cases and applications. "The complexity of deploying and optimizing Apache Hadoop has inhibited organizations from integrating it into their business intelligence ecosystems,” said Manoj Goyal, senior director, Converged Application Solutions Engineering, Enterprise Group, HP. “HP solutions for Hadoop are built to enable rapid deployment, and innovations such as the HBase enhancements in MapR M7 further help customers integrate Hadoop into their data centers.”


Topics: Big Data


Daniel Kusnetzky, a reformed software engineer and product manager, founded Kusnetzky Group LLC in 2006. He is responsible for research, publications, and operations. Mr. Kusnetzky has been involved with information technology since the late 1970s. Mr. Kusnetzky has been responsible for research operations at the 451 Group; corporate and... Full Bio

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