MapR

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MapR Technologies, Inc.
Industry Business software
Founder M.C Srivas, John Schroeder
Headquarters Santa Clara, California, United States of America
Number of locations
10
Key people
John Schroeder (CEO and Chairman of the Board)[1]
MC Srivas (co-founder and former CTO)[2]
Products Converged Data Platform, Apache Hadoop Distribution
Website http://www.mapr.com/

MapR is a business software company headquartered in Santa Clara, California. MapR provides access to a variety of data sources from a single computer cluster, including big data workloads such as Apache Hadoop and Apache Spark, a distributed file system, a multi-model database management system, and event stream processing, combining analytics in real-time with operational applications. Its technology runs on both commodity hardware and public cloud computing services.

Funding[edit]

MapR is privately held with original funding of $9 million from Lightspeed Venture Partners and New Enterprise Associates in 2009. MapR executives come from Google, Lightspeed Venture Partners, Informatica, EMC Corporation and Veoh. MapR had an additional round of funding led by Redpoint in August, 2011.[3][4] A round in 2013 was led by Mayfield Fund that also included Greenspring Associates.[5] In June 2014, MapR closed a $110 million financing round that was led by Google Capital. Qualcomm Ventures also participated, along with existing investors Lightspeed Venture Partners, Mayfield Fund, New Enterprise Associates and Redpoint Ventures.[6][7]

Products[edit]

The company contributes to the Apache Hadoop projects HBase, Pig, Apache Hive, and Apache ZooKeeper.[8]

MapR entered a technology licensing agreement with EMC Corporation on 25 May 2011, supporting an EMC-specific distribution of Apache Hadoop.[9] MapR was selected by Amazon Web Services to provide an upgraded version of Amazon's Elastic MapReduce (EMR) service.[10][11] MapR has also been selected by Google as a technology partner.[12] MapR broke the minute sort speed record on Google's Compute platform.[13]

MapR offers three levels of software license for their product known as M3, M5 and M7. M3 is a free version of the M5 product with degraded availability features. M7 is like M5, but adds a purpose-built rewrite of HBase that implements the HBase API directly in the file-system layer.[citation needed]

In 2016, MapR renamed their product "Converged Data Platform". Version 5.1.0 included: the MapR FS filesystem, MapR-DB document database management system (marketed as NoSQL), and MapR-Streams, which implements the Apache Kafka interface.

Partnerships[edit]

See also[edit]

References[edit]

  1. ^ "MapR Blogs". Retrieved February 21, 2018. 
  2. ^ Virginia Backaitis. "Why MapR Just Shook-Up Its Management". Retrieved February 21, 2018. 
  3. ^ "MapR Technologies Secures 20 million in Funding". Retrieved 19 Sep 2011. 
  4. ^ "MapR Makes Friends of Hadoop". Retrieved 19 Sep 2011. 
  5. ^ Hesseldahl, Arik. "MapR Lands $30 Million Series C Led by Mayfield Fund". All Things D. Retrieved 9 May 2013. 
  6. ^ Hesseldahl, Arik. "MapR Raises $110 Million in Round Led by Google Capital". recode.net. Revere Digital LLC. Retrieved 2 July 2014. 
  7. ^ Gabrielle, Karol. "Google Capital Leads $110M Round in Big-Data Startup MapR". foxbusiness.com. Fox News Network. Retrieved 2 July 2014. 
  8. ^ "Why MapR is Right to Give Back to Apache Hadoop". Retrieved 1 June 2011. 
  9. ^ "Startup MapR Underpins EMC's Hadoop Effort". Archived from the original on 22 August 2011. Retrieved 1 June 2011. 
  10. ^ "Amazon EMR with the MapR Distribution for Hadoop". Retrieved 25 June 2011. 
  11. ^ a b "Amazon Taps MapR for High Powered Elastic Map Reduce". Retrieved 25 June 2011. 
  12. ^ "MapR Technologies Joins Google Cloud Platform Partner Program". Reuters. Retrieved 9 May 2013. 
  13. ^ Metz, Cade. "Google Teams With Prodigal Son to Bust Data Sort Record". Wired. Retrieved 9 May 2013. 
  14. ^ "MapR Announces Certified Training with Big Data Partnership in EMEA". Archived from the original on 2014-01-01. 
  15. ^ "Google Compute Engine Leverages Third Party Support". 
  16. ^ "Cisco UCS with MapR: Delivering Advanced Performance for Hadoop Workloads" (PDF). Cisco. Retrieved 9 May 2013. 
  17. ^ http://www.business-standard.com/article/companies/tcs-partners-with-mapr-technologies-to-make-new-big-data-offerings-114072201086_1.html
  18. ^ Tavakoli-Shiraji, Ashoka (April 1, 2014). "Databricks and MapR Partner to Provide Enterprise Support for Spark". MapR. Retrieved September 28, 2014. 
  19. ^ http://www.bigdata-insider.de/unbelievable-machine-und-mapr-verstaerken-kooperation-a-460958/

External links[edit]