At the recent Hadoop workshop in New York City, MapR Technologies announced that it had set a new 1TB TeraSort benchmark record of 54 seconds using the Google (News - Alert) Compute Engine. This not only crushed the previous record of 62 seconds held by Yahoo, but did so with less physical hardware.
Indeed, MapR managed to break the one minute barrier in TeraSort with 1,003 servers, 4,012 cores and 1,003 disks, while Yahoo hit just over a minute running Apache Hadoop on 1,460 servers, 11,680 cores and 5,840 disks.
“To set this record in a virtualized cloud environment is a testament to Google Compute Engine’s high performance infrastructure,” said M.C. Srivas, CTO and cofounder of MapR Technologies. “This demonstrates the viability of cloud infrastructures for large-scale workloads. MapR is the clear Hadoop performance leader achieving the record time with 1/6 the disks, 1/3 cores and 2/3 the servers.”
MapR Technologies is a company that claims to deliver on the promise of Hadoop, making managing and analyzing big data a reality for more businesses outside of massive enterprises. Indeed, the award-winning MapR Distribution brings a never before seen level of dependability, speed and ease of use to the platform, while the company's recent speed record seems to underscore this.
Recently, MapR partnered with Hadapt, a software company that builds a Hadoop-based high performance platform for data analysis. This partnership will enable customers to leverage the MapR Distribution for Hadoop alongside Hadapt's Interactive Query capabilities to analyze all types of data — structured, semi-structured and unstructured — in a single enterprise platform.
In October, MapR announced that it intends to bring Hadoop and NoSQL together to create an unprecedented platform with a high degree of speed and dependability. Called MapR M7, this platform will allow big data operations from batch analytics to real-time database functions to be performed with enterprise-level reliability and protection.
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Edited by Rachel Ramsey