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SQream DB

From Wikipedia, the free encyclopedia
SQream
SQream Technologies Logo
Developer(s)SQream Technologies Ltd.
Initial release2014; 11 years ago (2014)
Stable release
2021.2[1] / 13 September 2021; 3 years ago (2021-09-13)
Written inCUDA,C++,Haskell[2]
Operating systemLinux
Platformx86-64
TypeRDBMS
Licenseproprietary
Websitesqream.com

SQream is arelational database management system (RDBMS) that usesgraphics processing units (GPUs) fromNvidia. SQream is designed forbig dataanalytics using the Structured Query Language (SQL).[3]

History

[edit]

SQream is the first product from SQream Technologies Ltd, a company founded in 2010 by Ami Gal and Kostya Varakin inTel Aviv, Israel.[4]

SQream was first released in 2014[5] after a partnership with anOrange S.A. inSilicon Valley.[6][7]The firm claimedOrange S.A. saved $6 million by using SQream in 2014.[8][9]SQream is aimed at the budget multi-terabyte analytics market, due to its modest hardware requirements and use of compression.[10]

SQream is also the basis for a product named GenomeStack, for querying many DNA sequences simultaneously.[11][12]A US$7.4M investment ofventure capital was announced in June 2015.[13] It is an example ofgeneral-purpose computing on graphics processing units, alongsideOmniSci andKinetica.[14]

The firm applied for patents, encompassingparallel execution queries onmulti-core processors and speeding up parallel execution onvector processors.[15][16][17]

In February 2018, SQream Technologies partnered withAlibaba Group's divisionAlibaba Cloud to deliver a GPU database service on Alibaba Cloud.[18]

In December 2021, SQream announced that it had acquired no-code data platform Panoply for an undisclosed sum, as part of the push to grow itscloud computing offering.[19]

Software and features

[edit]

Thecolumn-oriented database SQream platform was designed to manage large, fast-growing volumes of data, for compute-intensive queries. The product claims to improve query performance for very large datasets, over traditional relational database systems.

SQream is designed to run on premise or in the public cloud.[20]

References

[edit]
  1. ^"What's new in 2021.2".SQream Technologies. September 13, 2021. RetrievedSeptember 21, 2020.
  2. ^Wheat, Jake (September 25, 2013)."Using Haskell at SQream Technologies".SQream Technologies. RetrievedJuly 9, 2018.
  3. ^Rosbrow-Telem, Laura (June 9, 2015)."This insanely fast big data startup uses only one server – and just got $7.4M in funding".Geektime. RetrievedMarch 28, 2017.
  4. ^Wolfson, Rachel (August 15, 2016)."Q&A with Big Data Thought Leader, Ami Gal – Data Natives Tel Aviv 2016".DataConomy. RetrievedMarch 28, 2017.
  5. ^"SQream Tech unveils new big data platform".Geektime.
  6. ^Prickett Morgan, Timothy (March 28, 2014)."Telco Calls on GPU-Native SQream SQL Database".Enterprise Tech. RetrievedMarch 28, 2017.
  7. ^"IBM, Orange Use GPUs for Next Generation Enterprise Big Data Analytics at GTC".Nvidia Blog. Retrieved5 October 2014.
  8. ^"Getting big data done on a GPU-Based database"(PDF).GPU Technology Conference. Retrieved5 October 2014.
  9. ^"SQream Technologies and Orange Silicon Valley Demo Groundbreaking Big Data Platform at GTC".PRWeb. 26 March 2014.
  10. ^"A Shoebox-Size Data Warehouse Powered by GPUs".Datanami. 22 April 2015.
  11. ^"April News From the Bio-IT World Conference and Around the Industry".bio-itworld.com.
  12. ^וינרב, גלי (May 18, 2015)."סטארט-אפ בשבוע: מאגר מידע".Israel Globes (in Hebrew).
  13. ^"SQream Raises $7.4M in Funding Round".Genomeweb (Press release). June 9, 2015. RetrievedJune 22, 2015.
  14. ^Prickett Morgan, Timothy (September 22, 2016)."Pushing Database Scalability Up and Out with GPUs".The Next Platform. RetrievedMarch 28, 2017.
  15. ^"Patent WO 2012025915 A1 - A system and method for the parallel execution of database queries over cpus and multi core processors".Google Patents. Retrieved5 October 2014.
  16. ^"Patent WO 2012025915 A8 - A system and method for the parallel execution of database queries over cpus and multi core processors".Google Patents. Retrieved5 October 2014.
  17. ^"Patent WO 2014020605 A1 - A method for pre-processing and processing query operation on multiple data chunk on vector enabled architecture".Google Patents. Retrieved5 October 2014.
  18. ^"SQream teams with Alibaba, doubling workforce". Retrieved20 February 2018.
  19. ^"SQream acquires no-code data platform Panoply".TechCrunch. 15 December 2021. Retrieved2022-01-03.
  20. ^"SQream Technologies Launches Beta of GPU Database SQream DB on AWS Cloud".Yahoo Finance. Retrieved5 October 2017.

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