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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
Relational DBMS
RDF storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score3.62
Rank#83  Overall
#3  RDF stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebitnine.net/­agensgraphjena.apache.org/­documentation/­tdb/­index.htmlwww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbitnine.net/­documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­database/­timesten-18.1
DeveloperBitnine Global Inc.Apache Software Foundation infooriginally developed by HP LabsActian CorporationMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201620001974 infooriginally developed at University Berkely in early 1970s20161998
Current release2.1, December 20184.9.0, July 202311.2, May 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache License, Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaCC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemedepending on used data modelyes infoRDF Schemasyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoyesyesyes
APIs and other access methodsCypher Query Language
JDBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
Java
JavaScript
Python
JavaC#
Java
PHP
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesyesTransact SQLPL/SQL
Triggersnoyes infovia event handleryesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneIngres ReplicatoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesno 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 dataACIDACID infoTDB TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena Securityfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
AgensGraphApache Jena - TDBIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimesTen
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