MapR Technologies Launches New Big Data Platform
Oct 29, 2012 (Close-Up Media via COMTEX) --
MapR Technologies, a Hadoop technology company, announced at O'Reilly Strata Conference + Hadoop World 2012 that it is bringing Hadoop and NoSQL capabilities together on a platform.
With MapR M7, MapR said Big Data operations ranging from batch analytics to real-time database functions can be performed with enterprise-grade reliability and protection.
According to a release, 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.
By eliminating the need for compactions, the Company said M7 provides uniform and consistent performance. Second, by utilizing data structures that minimize the read- and write-amplification factor, inserts. M7 also supports in-memory columns, providing more options to increase database performance.
"M7 is taking Hadoop and HBase to the next level," said Jan Gelin, vice president of Technical Operations, Rubicon Project, a real-time advertising platform that was recently named number one in advertising reach by comScore. "The enterprise-grade capabilities of M7 give us a more complete platform and the ability to do new things with data."
"The Evaluator Group believes that enterprise Hadoop users will evaluate Hadoop and its supporting infrastructure using the same criteria that they would apply to other production data center-resident applications they are responsible for," said John Webster, senior partner, Evaluator Group. "MapR's support for an enterprise grade version of HBase responds to these demands with automated stateful failover, instant recovery and full data protection against user and application errors."
MapR noted that HBase scalability has also been changed. 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 data objects.
M7 influences 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.
"With M7, customers can now more successfully address a broader set of use cases," said John Schroeder, CEO and cofounder, MapR Technologies. "This release is further evidence of MapR's technical leadership and ability to make Big Data applications easy, dependable and fast."
MapR said 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 leverages an ecosystem of products and services including Informatica, a data integration company. "MapR brings additional reliability and performance to Hadoop and combined with Informatica's PowerCenter Big Data Edition addresses the big data challenges of volume, variety, and velocity," said Todd Goldman, vice president and general manager, Data Integration at Informatica. "Customers can take advantage of the additional Hadoop reliability of MapR and Informatica's visual development environment to extract, load, process and deliver data in a Hadoop cluster for successful big data projects."
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."
Drawn to Scale is a current MapR partner that provides, Spire, the first real-time read/write SQL database on Hadoop that embraces the enterprise capabilities of M7. "Our customers require best of breed performance and stability. With M7 as our HBase storage layer, our Web, Mobile and Enterprise customers get the fastest, most reliable platform for SQL operational workloads," says Ryan Rawson, vice president of Engineering at Drawn to Scale.
Simba is a supplier of standards-based data access and analytics solutions. M7 expands their connectivity to include mission-critical applications. "Standard SQL access via ODBC to NoSQL to Big Data sources was pioneered by Simba. Simba's Big Data ODBC drivers connect any standard SQL application to any NoSQL Big Data source, such as Hadoop/Hive, HBase and others," said George Chow, Simba's CTO. "As a pioneer and market leader in SQL and ODBC connectivity, Simba is pleased to collaborate with MapR to deliver industrial-strength connectivity to Big Data for the enterprise."
Finally, the M7 performance advantages usher in new capabilities and applications that are possible with Hadoop. Fusion-io 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 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."
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