MapR Technologies, Inc., the Hadoop technology leader, today announced at Hadoop Summit the results of joint testing with Fusion-io using the Fusion ioMemory platform and the MapR M7 Big Data platform. The combined solution accelerated performance 25 times faster for read intensive Apache HBase applications.
HBase application performance throughput has previously been limited by disk storage bottlenecks. The combined performance of Fusion-io and MapR break through these performance barriers to offer an ideal solution for performance-sensitive NoSQL applications.
MapR’s breakthrough testing results were obtained on a MapR cluster with a 1.2TB Fusion ioDrive2. The Fusion ioMemory platform is built to accelerate organizations’ most important applications, such as HBase, which integrates with the MapR M7 platform. Unlike solid state disks, Fusion ioMemory platforms are architected to manage flash like memory, providing ultra-low latency performance for databases even in the most demanding datacenters.
“Customers requiring Big Data analytics seek reliable, fast, and easy to implement solutions,” said Gary Orenstein, Fusion-io executive vice president. “As these test results demonstrate, running MapR on Fusion ioMemory delivers significant acceleration, while simultaneously ensuring data reliability in a solution that fits current datacenter infrastructure.”
“This record is significant because it eliminates one of the barriers to HBase adoption in high-performance environments,” said Bill Bonin, vice president business development, MapR Technologies. “Where information assets are growing at unprecedented rates, enterprises must respond quickly with scale-out performance in order to benefit from the full power of business analytics.”
The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is the only distribution for Hadoop that supports standard Linux commands and provides POSIX-compliant NFS access.