At the O’Reilly Strata Conference + Hadoop World, MapR announced that they’re bringing Hadoop and NoSQL capabilities together on an easy, dependable platform: MapR M7.
With 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 that it makes HBase enterprise grade with instant recovery from hardware and software failures, disaster recovery and full data protection with snapshots and mirroring. So even if you encounter multiple hardware or software outages and errors, applications will continue to run even without any administrator actions.
“With M7, customers can now more successfully address a broader set of use cases,” said John Schroeder, CEO and cofounder of MapR Technologies. “This release is further evidence of MapR’s technical leadership and ability to make Big Data applications easy, dependable and fast.
Customers don’t need to recompile or change code to take advantage of the enterprise-grade features, as M7 is binary compatible with Apache HBase. M7 also expands HBase’s use cases and applications, leverages an entire ecosystem of products and services such as Informatica – the leading integration company, and M7’s performance advantages usher in new capabilities and applications that are possible with Hadoop.
Fusion-io, one of MapR’s clients, focuses on improving the performance and efficiency of customer’s data centers with their Fusion-io technology to accelerate critical applications.
“Performance and capacity are crucial to ensuring that big data analytics can be conducted in a timeframe that delivers value from insights,” said Neil Carson, Fusion-io’s chief technology officer. “Fusion-io is pleased to team up with MapR to accelerate Hadoop HBase and NoSQL in the MapR M7 platform to provide a Big Data solution with enterprise grade reliability, security and performance.”
Interested parties can now register for the MapR M7 beta program here. And be sure to check back regularly for our live broadcast from Strata + Hadoop World 2012. Archives can be found here on our YouTube channel.
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