SQream DB

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SQream DB
SQream Technologies Logo
SQream Technologies Logo
Developer(s)SQream Technologies Ltd.
Initial release2014 (2014)
Stable release
2020.2[1] / 22 July 2020; 8 months ago (2020-07-22)
Written inCUDA, C++, Haskell[2]
Operating systemLinux
PlatformLinux
TypeRDBMS
LicenseProprietary
Websitesqream.com

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

History[edit]

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

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

SQream DB 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 company 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 Alibaba Cloud to deliver a GPU Database solution on Alibaba Cloud.[18]

Software and features[edit]

The column-oriented database SQream DB 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 DB is designed to run on premise or in the public cloud.[19]

References[edit]

  1. ^ SQream Technologies (July 22, 2020). "What's new in 2020.2". SQream Technologies. Retrieved September 21, 2020.
  2. ^ Jake Wheat (September 25, 2013). "Using Haskell at SQream Technologies". SQream Technologies. Retrieved July 9, 2018.
  3. ^ Laura Rosbrow-Telem (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. ^ Rachel Wolfson (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. ^ Timothy Prickett Morgan (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.
  11. ^ "April News From the Bio-IT World Conference and Around the Industry". bio-itworld.com.
  12. ^ "סטארט-אפ בשבוע: מאגר מידע". Israel Globes. May 18, 2015. (in Hebrew)
  13. ^ "SQream Raises $7.4M in Funding Round". Genomeweb (Press release). June 9, 2015. Retrieved June 22, 2015. (Registration required)
  14. ^ Timothy Prickett Morgan (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 Technologies Launches Beta of GPU Database SQream DB on AWS Cloud". Yahoo Finance. Retrieved 5 October 2017.

External links[edit]