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DBMS > HEAVY.AI vs. SiriDB vs. SpatiaLite vs. VelocityDB

System Properties Comparison HEAVY.AI vs. SiriDB vs. SpatiaLite 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 comparisonSiriDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen Source Time Series DBMSSpatial extension of SQLiteA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSTime Series DBMSSpatial DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
siridb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexvelocitydb.com
Technical documentationdocs.heavy.aidocs.siridb.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvelocitydb.com/­UserGuide
DeveloperHEAVY.AI, Inc.CesbitAlessandro FurieriVelocityDB Inc
Initial release2016201720082011
Current release5.10, January 20225.0.0, August 20207.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMIT LicenseOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDACC++C#
Server operating systemsLinuxLinuxserver-lessAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoNumeric datayesyes
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 SQLyesnoyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API.Net
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Server-side scripts infoStored proceduresnononono
TriggersnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsnoBased on Windows Authentication

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SiriDBSpatiaLiteVelocityDB
DB-Engines blog posts

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6 April 2021, Matthias Gelbmann

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

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13 July 2023, Spiceworks News and Insights

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

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14 April 2023, InfoWorld

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