MapR Technologies, a provider of Hadoop technology, has announced its expanded cloud leadership with MapR M7, a big data platform for NoSQL and Apache Hadoop applications that is now available through Amazon Elastic MapReduce (EMR).
The company says MapR M7 provides ease of use, dependability and greater performance for NoSQL and Hadoop, while Amazon EMR makes it easy and cost-effective to deploy and operate elastic Hadoop clusters on Amazon Web Services (AWS). With just a few mouse clicks or a single line of code, customers can now launch a dynamically scalable M7 cluster on Amazon EMR to store or process vast amounts of data.
MapR Technologies says M7 is fully supported on multiple AWS instance types, including the latest high-performance, SSD-backed high I/O instances, and can scale horizontally to thousands of nodes per cluster. Standard YCSB benchmark tests on AWS High Storage instances have shown M7 delivering consistent performance of more than 100,000 operations per second per node, demonstrating how M7 users can take advantage of their cloud infrastructure.
'AWS is pleased to offer Amazon EMR with MapR M7,' said Peter Sirota, general manager for Amazon Elastic MapReduce. 'Together, MapR M7 and Amazon EMR is a powerful combination for our customers.'
'MapR’s latest technology accomplishment with the availability of the MapR M7 Distribution is providing ground breaking capabilities for Apache HBase applications to enhance big data operations,' said John Schroeder, CEO and co-founder, MapR Technologies. 'Customers that want added flexibility, scalability and cost-effectiveness in the cloud can gain further benefits from MapR’s technology via AWS.'