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DBMS > Apache Jena - TDB vs. Ingres vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. TimesTen

System Properties Comparison Apache Jena - TDB vs. Ingres vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. TimesTen

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonIngres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkWell established RDBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIn-Memory RDBMS compatible to Oracle
Primary database modelRDF storeRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.actian.com/­databases/­ingresjanusgraph.orgazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.actian.com/­ingresdocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infooriginally developed by HP LabsActian CorporationLinux Foundation; originally developed as Titan by AureliusMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20001974 infooriginally developed at University Berkely in early 1970s201720161998
Current release4.9.0, July 202311.2, May 20220.6.3, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infoRDF Schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJavaClojure
Java
Python
C#
Java
PHP
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesyesTransact SQLPL/SQL
Triggersyes infovia event handleryesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneIngres ReplicatoryesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess control via Jena Securityfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryesfine grained access rights according to SQL-standard

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More resources
Apache Jena - TDBIngresJanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimesTen
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