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]
 SQream Technologies Logo | |
| Developer(s) | SQream Technologies Ltd. |
|---|---|
| Initial release | 2014 |
| Stable release | 2021.2[1]
/ 13 September 2021 |
| Written in | CUDA, C++, Haskell[2] |
| Operating system | Linux |
| Platform | Linux |
| Type | RDBMS |
| License | Proprietary |
| Website | sqream |
History
editSQream is the first product from SQream Technologies Ltd, 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 company 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 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]
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 offering.[19]
Software and features
editThe 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
edit- ^ SQream Technologies (September 13, 2021). "What's new in 2021.2". SQream Technologies. Retrieved September 21, 2020.
- ^ Jake Wheat (September 25, 2013). "Using Haskell at SQream Technologies". SQream Technologies. Retrieved July 9, 2018.
- ^ 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.
- ^ Rachel Wolfson (August 15, 2016). "Q&A with Big Data Thought Leader, Ami Gal – Data Natives Tel Aviv 2016". DataConomy. Retrieved March 28, 2017.
- ^ "SQream Tech unveils new big data platform". Geektime.
- ^ Timothy Prickett Morgan (March 28, 2014). "Telco Calls On GPU-Native SQream SQL Database". Enterprise Tech. Retrieved March 28, 2017.
- ^ "IBM, Orange Use GPUs for Next Generation Enterprise Big Data Analytics at GTC". Nvidia Blog. Retrieved 5 October 2014.
- ^ "Getting big data done on a GPU-Based database" (PDF). GPU Technology Conference. Retrieved 5 October 2014.
- ^ "SQream Technologies and Orange Silicon Valley Demo Groundbreaking Big Data Platform at GTC". PRWeb. 26 March 2014.
- ^ "A Shoebox-Size Data Warehouse Powered by GPUs". Datanami. 22 April 2015.
- ^ "April News From the Bio-IT World Conference and Around the Industry". bio-itworld.com.
- ^ וינרב, גלי (May 18, 2015). "סטארט-אפ בשבוע: מאגר מידע". Israel Globes. (in Hebrew)
- ^ "SQream Raises $7.4M in Funding Round". Genomeweb (Press release). June 9, 2015. Retrieved June 22, 2015. (Registration required)
- ^ Timothy Prickett Morgan (September 22, 2016). "Pushing Database Scalability Up And Out With GPUs". The Next Platform. Retrieved March 28, 2017.
- ^ "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.
- ^ "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.
- ^ "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.
- ^ "SQream teams with Alibaba, doubling workforce". Retrieved 20 February 2018.
- ^ "SQream acquires no-code data platform Panoply". TechCrunch. 15 December 2021. Retrieved 2022-01-03.
- ^ "SQream Technologies Launches Beta of GPU Database SQream DB on AWS Cloud". Yahoo Finance. Retrieved 5 October 2017.