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

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

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  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 frameworkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Search-as-a-service for web and mobile app development
Primary database modelRDF storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#93  Overall
#3  RDF stores
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.esgyn.cnwww.featurebase.comazure.microsoft.com/­en-us/­services/­search
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.featurebase.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infooriginally developed by HP LabsEsgynMolecula and Pilosa Open Source ContributorsMicrosoft
Initial release2000201520172015
Current release4.9.0, July 20232022, May 2022V1
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaGo
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
hosted
Data schemeyes infoRDF Schemasyesyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesSQL queriesno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetJava
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesJava Stored Proceduresno
Triggersyes infovia event handlernonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess control via Jena Securityfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Apache Jena - TDBEsgynDBFeatureBaseMicrosoft Azure AI Search
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