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DBMS > HEAVY.AI vs. HyperSQL vs. Kinetica vs. VelocityDB

System Properties Comparison HEAVY.AI vs. HyperSQL vs. Kinetica vs. VelocityDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKinetica  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBFully vectorized database across both GPUs and CPUsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#156  Overall
#72  Relational DBMS
Score3.08
Rank#86  Overall
#46  Relational DBMS
Score0.42
Rank#257  Overall
#120  Relational DBMS
Score0.00
Rank#386  Overall
#40  Graph DBMS
#20  Object oriented DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
hsqldb.orgwww.kinetica.comvelocitydb.com
Technical documentationdocs.heavy.aihsqldb.org/­web/­hsqlDocsFrame.htmldocs.kinetica.comvelocitydb.com/­UserGuide
DeveloperHEAVY.AI, Inc.KineticaVelocityDB Inc
Initial release2016200120122011
Current release5.10, January 20222.7.2, June 20237.1, August 20217.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infobased on BSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJavaC, C++C#
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC
Java
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnoJava, SQLuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelBased on Windows Authentication

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDBKineticaVelocityDB
Recent citations in the news

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

Generative AI Is Powerful—And Power Hungry
1 August 2024, Forbes

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Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks & Files

How GPUs Are Helping Paris’ Public Hospital System Combat the Spread of COVID-19
15 October 2020, NVIDIA Blog

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

Kinetica Adds $6 Million in Acceleration Funding and Expands Management Team
26 September 2016, Business Wire

provided by Google News



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