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DBMS > Datomic vs. GraphDB vs. OrientDB

System Properties Comparison Datomic vs. GraphDB vs. OrientDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-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.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#135  Overall
#67  Relational DBMS
Score2.61
Rank#112  Overall
#7  Graph DBMS
#5  RDF stores
Score4.86
Rank#80  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
Websitewww.datomic.comwww.ontotext.comorientdb.org
Technical documentationdocs.datomic.comgraphdb.ontotext.com/­documentationwww.orientdb.com/­docs/­last/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperCognitectOntotextOrientDB LTD; CallidusCloud; SAP
Initial release201220002010
Current release1.0.6362, January 20229.8, June 20213.1.9, February 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language, no joins
APIs and other access methodsRESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionswell-defined plugin interfaces; JavaScript server-side extensibilityJava, Javascript
TriggersBy using transaction functionsnoHooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlnoDefault 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.Access rights for users and roles; record level security configurable
More information provided by the system vendor
DatomicGraphDB infoformer name: OWLIMOrientDB
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
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Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
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Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
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Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
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DatomicGraphDB infoformer name: OWLIMOrientDB
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