MapR M7 Available Through Amazon Elastic MapReduce

MapR
Technologies, Inc. announced its expanded cloud leadership with
MapR
M7, a big data platform for NoSQL and Apache Hadoop applications,
available through Amazon
Elastic MapReduce.

MapR M7 provides dependability and
greater performance for NoSQL and Hadoop. Amazon EMR makes it easy to
deploy and operate elastic Hadoop clusters on AWS. With a few
mouse clicks or a single line of code, customers can launch a
dynamically scalable M7 cluster on Amazon EMR to store or process
vast amounts of data.

M7 is supported on multiple AWS
instance types, including 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 the platform delivering consistent performance of over
100,000 operations per second per node, demonstrating how M7 users
can derive utilization from their cloud infrastructure.

"AWS is pleased to offer Amazon
EMR with MapR M7," said Peter Sirota, GM,
Amazon Elastic MapReduce. "Together, MapR M7 and Amazon EMR
is a powerful combination for our customers."

"MapR s 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. "Customers that want added
flexibility, scalability and cost-effectiveness in the cloud can gain
further benefits from MapR s technology via AWS."

The platform supports a set of
real-time production uses and brings dependability and speed to
Hadoop, NoSQL, database and streaming applications in one big data
platform. MapR is the only distribution that enables Linux
applications and commands to access data in the cluster via the NFS
interface that is available with all MapR editions.

With this announcement, all MapR
Editions, M3, M5 and M7, are available through Amazon EMR.