AWS adds MapR M7 to Elastic MapReduce

A graphic concept of cloud computing

Amazon Web Services (AWS) has made available MapR M7 to users of its Elastic MapReduce (EMR) service.

MapR Technologies, the firm behind the M7 Big Data platform for NoSQL and Hadoop, has long-been been a big supporter of Apache Hadoop. In addition to M7, all other MapR versions (M3, M5 and now M7) are now available on EMR.

MapR M7 is designed to provide ease of use, dependability and greater performance for NoSQL and Hadoop, its maker claims. Amazon EMR is used to deploy and operate elastic Hadoop clusters on AWS.

MapR said that users could launch a dynamically scalable M7 cluster on Amazon EMR to store or process vast amounts of data with “just a few mouse clicks or a single line of code.“

M7 is supported on multiple AWS instance types, including the latest high-performance SSD-backed High I/O instances. It 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 derive greater use from their cloud infrastructure.

"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, chief executive 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."

In a blog post, Jeff Barr, AWS chief evangelist, said that MapR is the “only distribution that enables Linux applications and commands to access data directly in the cluster via the NFS interface that is available with all MapR editions."

He added: "MapR M7 was optimised for cloud deployments including high performing instances such as High Storage and High I/O."

Barr also said users who don't need the full feature set offered by M7 can now run MapR M5 and makes savings of up to 45 per cent, depending on instance size.

Rene Millman

Rene Millman is a freelance writer and broadcaster who covers cybersecurity, AI, IoT, and the cloud. He also works as a contributing analyst at GigaOm and has previously worked as an analyst for Gartner covering the infrastructure market. He has made numerous television appearances to give his views and expertise on technology trends and companies that affect and shape our lives. You can follow Rene Millman on Twitter.