Software:SQream DB

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SQream
SQream Technologies Logo
SQream Technologies Logo
Developer(s)SQream Technologies Ltd.
Initial release2014; 12 years ago (2014)
Stable release
2021.2[1] / 13 September 2021; 4 years ago (2021-09-13)
Written inCUDA, C++, Haskell[2]
Operating systemLinux
Platformx86-64
TypeRDBMS
Licenseproprietary
Websitesqream.com

SQream is a relational database management system (RDBMS) that uses graphics processing units (GPUs) from Nvidia. SQream is designed for big data analytics using the Structured Query Language (SQL).[3]

History

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

SQream was first released in 2014[5] after a partnership with an Orange S.A. in Silicon Valley.[6][7] The firm claimed Orange 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 of venture capital was announced in June 2015.[13] It is an example of general-purpose computing on graphics processing units, alongside OmniSci and Kinetica.[14]

The firm applied for patents, encompassing parallel execution queries on multi-core processors and speeding up parallel execution on vector processors.[15][16][17]

In February 2018, SQream Technologies partnered with Alibaba Group's division Alibaba 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 its cloud computing offering.[19]

Software and features

The column-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

  1. ↑ "What's new in 2021.2". September 13, 2021. https://docs.sqream.com/en/latest/releases/2021.2.html#id1. 
  2. ↑ Wheat, Jake (September 25, 2013). "Using Haskell at SQream Technologies". https://sqream.com/using-haskell-at-sqream-technologies/. 
  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. http://www.geektime.com/2015/06/09/this-insanely-fast-big-data-startup-uses-only-one-server-and-just-got-7-4m-in-funding/. 
  4. ↑ Wolfson, Rachel (August 15, 2016). "Q&A with Big Data Thought Leader, Ami Gal – Data Natives Tel Aviv 2016". DataConomy. http://dataconomy.com/2016/08/qa-big-data-thought-leader-ami-gal-data-natives-tel-aviv-2016/. 
  5. ↑ "SQream Tech unveils new big data platform". Geektime. http://www.geektime.com/2014/03/27/sqream-tech-unveils-new-big-data-platform/. 
  6. ↑ Prickett Morgan, Timothy (March 28, 2014). "Telco Calls on GPU-Native SQream SQL Database". Enterprise Tech. http://www.enterprisetech.com/2014/03/28/telco-calls-gpu-native-sqream-sql-database/. 
  7. ↑ "IBM, Orange Use GPUs for Next Generation Enterprise Big Data Analytics at GTC". http://blogs.nvidia.com/blog/2014/03/21/ibm-orange-gpus-big-data/. 
  8. ↑ "Getting big data done on a GPU-Based database". http://on-demand.gputechconf.com/gtc/2014/presentations/S4644-big-data-gpu-based-database.pdf. 
  9. ↑ "SQream Technologies and Orange Silicon Valley Demo Groundbreaking Big Data Platform at GTC". PRWeb. 26 March 2014. https://www.prweb.com/releases/sqream_technologies_and_orange_silicon_valley_demo_groundbreaking_big_data_platform_at_gtc/prweb11705346.htm. 
  10. ↑ "A Shoebox-Size Data Warehouse Powered by GPUs". Datanami. 22 April 2015. http://www.datanami.com/2015/04/22/a-shoebox-size-data-warehouse-powered-by-gpus/. 
  11. ↑ "April News From the Bio-IT World Conference and Around the Industry". bio-itworld.com. http://www.bio-itworld.com/2015/4/27/april-news-bio-it-world-conference-around-industry.html. 
  12. ↑ וינרב, גלי (May 18, 2015). "סטארט-אפ בשבוע: מאגר מידע" (in he). Israel Globes. http://www.globes.co.il/news/article.aspx?fbdid=1001037069. 
  13. ↑ "SQream Raises $7.4M in Funding Round". Genomeweb (Press release). June 9, 2015. Retrieved June 22, 2015.
  14. ↑ Prickett Morgan, Timothy (September 22, 2016). "Pushing Database Scalability Up and Out with GPUs". The Next Platform. https://www.nextplatform.com/2016/09/22/pushing-database-scalability-gpus. 
  15. ↑ "Patent WO 2012025915 A1 - A system and method for the parallel execution of database queries over cpus and multi core processors". https://patents.google.com/patent/WO2012025915A1. 
  16. ↑ "Patent WO 2012025915 A8 - A system and method for the parallel execution of database queries over cpus and multi core processors". https://patents.google.com/patent/WO2012025915A8. 
  17. ↑ "Patent WO 2014020605 A1 - A method for pre-processing and processing query operation on multiple data chunk on vector enabled architecture". https://patents.google.com/patent/WO2014020605A1. 
  18. ↑ "SQream teams with Alibaba, doubling workforce". http://www.globes.co.il/en/article-sqream-teams-with-alibaba-doubling-workforce-1001222871. 
  19. ↑ "SQream acquires no-code data platform Panoply" (in en-US). 15 December 2021. https://techcrunch.com/2021/12/15/sqream-acquires-no-code-data-platform-panoply/. 
  20. ↑ "SQream Technologies Launches Beta of GPU Database SQream DB on AWS Cloud". Yahoo Finance. https://finance.yahoo.com/news/sqream-technologies-launches-beta-gpu-130000865.html. 

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