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DBMS > Apache Jena - TDB vs. Kinetica vs. Microsoft Azure AI Search

System Properties Comparison Apache Jena - TDB vs. Kinetica vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app development
Primary database modelRDF storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.kinetica.comazure.microsoft.com/­en-us/­services/­search
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infooriginally developed by HP LabsKineticaMicrosoft
Initial release200020122015
Current release4.9.0, July 20237.1, August 2021V1
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsAll OS with a Java VMLinuxhosted
Data schemeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyes infovia event handleryes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess control via Jena SecurityAccess rights for users and roles on table levelyes infousing Azure authentication

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More resources
Apache Jena - TDBKineticaMicrosoft Azure AI Search
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