MapR’s M7 ‘ultimate decision machine’ big data platform is now available on Amazon’s Elastic MapReduce cloud infrastructure
Amazon Web Services has announced the availability of MapR M7 on Amazon Elastic MapReduce.
MapR Technologies’ M7 is a big data platform, now available through Amazon Elastic MapReduce (EMR), that provides ease of use, dependability and greater performance of NoSQL and Apache Hadoop applications.
Scalable M7 clusters
Amazon EMR makes it easy and cost-effective to deploy and operate elastic Hadoop clusters on AWS. It allows customers to launch a dynamically scalable M7 cluster on Amazon EMR to store or process vast amounts of data, MapR officials said.
MapR M7 delivers ease of use, dependability and performance for HBase and Hadoop. For customers looking to deploy HBase, M7 offers seamless splits, no compactions, instant recovery from failure, point-in-time recovery, full HA, mirroring and consistent low latency, AWS officials said.
Amazon EMR makes it easy to provision and manage Hadoop in the AWS Cloud. Hadoop is available in multiple distributions, and Amazon EMR offers the option of using the Amazon Distribution or the MapR Distribution for Hadoop.
MapR delivers on the promise of Hadoop with an enterprise-grade platform that supports a broad set of mission-critical and real-time production uses.
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.
Improved infrastructure utilisation
Standard YCSB benchmark tests on AWS High Storage instances have shown M7 delivering consistent performance of over 100,000 operations per second per node, demonstrating how M7 users can derive greater utilisation from their cloud infrastructure.
“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,” said Jeff Barr, chief evangelist for Amazon Web Services, in a 12 July blog post. “MapR M7 was optimised for cloud deployments including high performing instances such as High Storage and High I/O.”
The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses and claims to bring dependability, ease of use and high speeds to Hadoop, NoSQL, database and streaming applications in one unified big data platform. 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.
The M7 architecture’s advantages for HBase users include seamless region splits, instant recovery from failure, consistent low latency and point-in-time recovery.
MapR is used across financial services, retail, media, health care, manufacturing, telecommunications and government organisations as well as by leading Fortune 100 and web 2.0 companies. Investors include Lightspeed Venture Partners, Mayfield Fund, NEAs and Redpoint Ventures.
Are you a Google expert? Take our quiz!
Originally published on eWeek.