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DBMS > SQream DB

SQream DB System Properties

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Our visitors often compare SQream DB with HEAVY.AI, Snowflake and Kinetica.

Editorial information provided by DB-Engines
NameSQream DB
Descriptiona GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#221  Overall
#108  Relational DBMS
Websitesqream.com
Technical documentationdocs.sqream.com
DeveloperSQream Technologies
Initial release2014
Current release2021.2, September 2021
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Types
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methods.Net
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions in Python
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
More information provided by the system vendor
SQream DB
Specific characteristics

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.

Competitive advantages
  • Much faster time to insight
  • Analyze significantly more data
  • Achieve previously unobtainable insights
  • Minimize time spent on data preparation, increase exploration
Typical application scenarios

What can you do with 100x faster SQL analytics?

  • Better and more timely decision making
  • More reliable AI models
  • Improved predictions and risk management
  • More personalized customer experience and increased loyalty
  • Optimized business and operational efficiency

TELECOM

  • Customer 360
  • Competitive Analysis
  • Network Optimization

FINANCE

  • Fraud Analysis
  • Risk Consolidation
  • Customized Services

HEALTHCARE

  • Care Management
  • IoT Devices
  • Genomic Research

RETAIL

  • Monitor Competitors
  • Customer Experience
  • Operational Decisions
Key customers

Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile, Cellcom, Orange S.A., Sheba Medical Center

News

SQream Appoints Naama Saar as New COO
16 May 2022

Panoply Partners with Square to Offer Simplified Business Intelligence
16 May 2022

PANOPLY PARTNERS WITH SQUARE
16 May 2022

The 50 most promising Israeli startups – 2022
11 May 2022

The Big Data ‘Tribrid’ Dump: Cloud And Edge Are Actually On-Prem
11 May 2022

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
SQream DB
Recent citations in the news

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

How big data can save lives
24 August 2015, ISRAEL21c

In A Parallel Universe, Data Warehouses Run On GPUs
4 October 2018, The Next Platform

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

provided by Google News



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