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SQream DB
SQream DB
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SQream DB
SQream
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 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

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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

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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

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  1. ^ "What's new in 2021.2". SQream Technologies. September 13, 2021. Retrieved September 21, 2020.
  2. ^ Wheat, Jake (September 25, 2013). "Using Haskell at SQream Technologies". SQream Technologies. Retrieved July 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. Retrieved March 28, 2017.
  4. ^ Wolfson, Rachel (August 15, 2016). "Q&A with Big Data Thought Leader, Ami Gal – Data Natives Tel Aviv 2016". DataConomy. Retrieved March 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. Retrieved March 28, 2017.
  7. ^ "IBM, Orange Use GPUs for Next Generation Enterprise Big Data Analytics at GTC". Nvidia Blog. Retrieved 5 October 2014.
  8. ^ "Getting big data done on a GPU-Based database" (PDF). GPU Technology Conference. Retrieved 5 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. Retrieved June 22, 2015.
  14. ^ Prickett Morgan, Timothy (September 22, 2016). "Pushing Database Scalability Up and Out with GPUs". The Next Platform. Retrieved March 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. Retrieved 5 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. Retrieved 5 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. Retrieved 5 October 2014.
  18. ^ "SQream teams with Alibaba, doubling workforce". Retrieved 20 February 2018.
  19. ^ "SQream acquires no-code data platform Panoply". TechCrunch. 15 December 2021. Retrieved 2022-01-03.
  20. ^ "SQream Technologies Launches Beta of GPU Database SQream DB on AWS Cloud". Yahoo Finance. Retrieved 5 October 2017.
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