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DBMS > AgensGraph vs. JanusGraph vs. Stardog vs. TimesTen

System Properties Comparison AgensGraph vs. JanusGraph vs. Stardog vs. TimesTen

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonStardog  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
Relational DBMS
Graph DBMSGraph DBMS
RDF store
Relational 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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebitnine.net/­agensgraphjanusgraph.orgwww.stardog.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbitnine.net/­documentationdocs.janusgraph.orgdocs.stardog.comdocs.oracle.com/­database/­timesten-18.1
DeveloperBitnine Global Inc.Linux Foundation; originally developed as Titan by AureliusStardog-UnionOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201720101998
Current release2.1, December 20180.6.3, February 20237.3.0, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemedepending on used data modelyesschema-free and OWL/RDFS-schema supportyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsCypher Query Language
JDBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
Java
JavaScript
Python
Clojure
Java
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesuser defined functions and aggregates, HTTP Server extensions in JavaPL/SQL
Triggersnoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AgensGraphJanusGraph infosuccessor of TitanStardogTimesTen
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