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DBMS > AgensGraph vs. Google Cloud Datastore vs. Graph Engine vs. GraphDB vs. RDF4J

System Properties Comparison AgensGraph vs. Google Cloud Datastore vs. Graph Engine vs. GraphDB vs. RDF4J

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
Relational DBMS
Document storeGraph DBMS
Key-value store
Graph DBMS
RDF store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitebitnine.net/­agensgraphcloud.google.com/­datastorewww.graphengine.iowww.ontotext.comrdf4j.org
Technical documentationbitnine.net/­documentationcloud.google.com/­datastore/­docswww.graphengine.io/­docs/­manualgraphdb.ontotext.com/­documentationrdf4j.org/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperBitnine Global Inc.GoogleMicrosoftOntotextSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162008201020002004
Current release2.1, December 201810.4, October 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoMIT Licensecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC.NET and CJavaJava
Server operating systemsLinux
OS X
Windows
hosted.NETAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemedepending on used data modelschema-freeyesschema-free and OWL/RDFS-schema support; RDF shapesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nononono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)nostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyesusing Google App Engineyeswell-defined plugin interfaces; JavaScript server-side extensibilityyes
TriggersnoCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoin-memory storage is supported as well
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 rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.no
More information provided by the system vendor
AgensGraphGoogle Cloud DatastoreGraph Engine infoformer name: TrinityGraphDB infoformer name: OWLIMRDF4J infoformerly known as Sesame
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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AgensGraphGoogle Cloud DatastoreGraph Engine infoformer name: TrinityGraphDB infoformer name: OWLIMRDF4J infoformerly known as Sesame
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