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DBMS > DataFS vs. HEAVY.AI vs. JaguarDB vs. jBASE vs. Kinetica

System Properties Comparison DataFS vs. HEAVY.AI vs. JaguarDB vs. jBASE vs. Kinetica

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJaguarDB  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePerformant, highly scalable DBMS for AI and IoT applicationsA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUs
Primary database modelObject oriented DBMSRelational DBMSKey-value store
Vector DBMS
Multivalue DBMSRelational DBMS
Secondary database modelsGraph DBMSSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitenewdatabase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.jaguardb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.com
Technical documentationdev.mobiland.com/­Overview.xspdocs.heavy.aiwww.jaguardb.com/­support.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.com
DeveloperMobiland AGHEAVY.AI, Inc.DataJaguar, Inc.Rocket Software (formerly Zumasys)Kinetica
Initial release20182016201519912012
Current release1.1.263, October 20225.10, January 20223.3 July 20235.77.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++ infothe server part. Clients available in other languagesC, C++
Server operating systemsWindowsLinuxLinuxAIX
Linux
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nononoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersEmbedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersno, except callback-events from server when changes happenednonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoRound robinShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardrights management via user accountsAccess rights can be defined down to the item levelAccess rights for users and roles on table level

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More resources
DataFSHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JaguarDBjBASEKinetica
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