DBMS > SQream DB
SQream DB System Properties
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|Editorial information provided by DB-Engines|
|Description||a GPU-based, columnar RDBMS for big data analytics workloads|
|Primary database model||Relational DBMS|
|Current release||2021.2, September 2021|
|License Commercial or Open Source||commercial|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C++, CUDA, Haskell, Java, Scala|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes, ANSI Standard SQL Types|
|SQL Support of SQL||yes|
|APIs and other access methods||.Net|
|Supported programming languages||C++|
|Server-side scripts Stored procedures||user defined functions in Python|
|Partitioning methods Methods for storing different data on different nodes||horizontal and vertical partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|More information provided by the system vendor|
Due to exponentially growing data, organizations today are facing slowdowns, with analytics taking hours or even days. Time-consuming data preparation is needed for each change in perspective, and some complex analytics simply cannot be done.
SQream DB is a complementary SQL database that accelerates analytics on massive datasets.
SQream DB works as a speed layer alongside enterprises' MPP ecosystems, reducing long-running queries of terabytes to petabytes of data from days to hours and hours to minutes or even seconds. With SQream DB's GPU-accelerated processing power, enterprises can analyze a much larger portion of their historical and fresh data - for more accurate insights, better predictions, more reliable AI models, and better business decisions.
SQream DB analyzes raw data directly, enabling data scientists and BI analysts to freely explore their data from a variety of perspectives and dimensions, without the need for arduous preparation.
Leading organizations in telecom, retail, healthcare, finance, and additional industries around the world use SQream DB to accelerate business intelligence and gain access to previously inaccessible business insights.
|Typical application scenarios|
What can you do with 100x faster SQL analytics?
Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile, Cellcom, Orange S.A., Sheba Medical Center
SQream Appoints Naama Saar as New COO
PANOPLY PARTNERS WITH SQUARE
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|Recent citations in the news|
SQream Technologies raises $39.4 million for GPU-accelerated databases
Accelerated Databases In The Fast Lane
How big data can save lives
In A Parallel Universe, Data Warehouses Run On GPUs
Chinese giant Alibaba leads investment round in Israel big-data startup
provided by Google News
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