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DBMS > HEAVY.AI vs. STSdb

System Properties Comparison HEAVY.AI vs. STSdb

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#146  Overall
#70  Relational DBMS
Score0.00
Rank#357  Overall
#56  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­STSSoft/­STSdb4
Technical documentationdocs.heavy.ai
DeveloperHEAVY.AI, Inc.STS Soft SC
Initial release20162011
Current release5.10, January 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC#
Server operating systemsLinuxWindows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnono
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdb
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdb
Recent citations in the news

The insideBIGDATA IMPACT 50 List for Q3 2022
19 July 2022, insideBIGDATA

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

HEAVY.AI Introduces New Capabilities that Enable Organizations to Gain Faster Access to Rapidly Growing Data Sets and Deliver Decision-Quality Information
23 March 2022, insideBIGDATA

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

The insideBIGDATA IMPACT 50 List for Q1 2022
10 January 2022, insideBIGDATA

provided by Google News

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