Featured Author

M.C. Srivas
Co-founder, MapR

Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, andco-founded MapR on his vision to build the next-generation platform for semi-structured big data. His strategy was to evolve Hadoop and bring simplicity of use, extreme speed and complete reliability to Hadoop users everywhere, and make it seamlessly easy for enterprises to use this powerful new way to get deep insights.

Srivas was Chief Architect at Spinnaker Networks (now NTAP) which built the industry's fastest single-box NAS filer, as well as the industry's most scalable clustered filer. Previously, he managed the Andrew File System (AFS) engineering team at Transarc (now IBM). AFS is now standard classroom material in operating systems courses. While not writing code, Srivas enjoys playing tennis, badminton and volleyball. M.C. has an MS in Computer Science from University of Delaware, and a B.Tech. in electrical engineering from IIT Delhi.

Author's Posts

Posted on February 24, 2016 by M.C. Srivas

Big data is amazing. Put to use effectively, it delivers efficiencies on a scale that was previously impossible. We live and operate in a complex, highly interconnected world, where almost everything interacts with everything else.

Posted on December 8, 2015 by M.C. Srivas

In this week's Whiteboard Walkthrough, MC Srivas, MapR Co-Founder, walks you through the MapR Converged Data Platform that has been in the making for the last 6 years and is now finally complete with MapR Streams.

Posted on September 29, 2015 by M.C. Srivas

In this week's Whiteboard Walkthrough, MC Srivas, MapR CTO and Co-Founder, explains the innovation and vision behind MapR-DB and how project Kudu stacks up to the MapR Data Platform.

Posted on November 6, 2011 by M.C. Srivas
Recently a world record was claimed for a Hadoop benchmark.  MapR has run numerous benchmarks where MapR performs 2 to 5 times faster than other distributions and have published these results. So a world record was quite a claim. We were surprised to see that this world record was for a TeraSort benchmark on a 100GB of data.
Posted on October 24, 2012 by M.C. Srivas
When MapR was given access to Google Compute Engine's limited preview, we ran a lot of mini tests on the virtualized hardware to figure out how to tune our software. The results of those tests were surprisingly good. The speed and consistent performance provided by Google Compute Engine even at the 99th percentile was very impressive. So we decided to run a TeraSort benchmark just to see how well we could do in a virtualized, shared environment where we didn't control the hardware, nor control the other non-MapR tenants.An Earlier Result
Posted on February 26, 2013 by M.C. Srivas
Gone in 60 seconds! Breaking the MinuteSort Record Yuliya Feldman, Amit Hadke, Gera Shegalov, M. C. Srivas Introduction The MinuteSort test measures how much data a system can sort in 1 minute. The test requires that a random sequence of 100-byte records, each consisting of a 10-byte key and 90 bytes of payload, be arranged in either ascending or descending order. The earlier record had sorted 14 billion records totaling 1400 gigabytes in 60 seconds. The web site sortbenchmark.org keeps track of all such records.

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