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
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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