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DBMS > Datomic vs. GraphDB vs. RavenDB

System Properties Comparison Datomic vs. GraphDB vs. RavenDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRavenDB  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.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#142  Overall
#64  Relational DBMS
Score2.59
Rank#96  Overall
#7  Graph DBMS
#3  RDF stores
Score2.59
Rank#95  Overall
#17  Document stores
Websitewww.datomic.comwww.ontotext.comravendb.net
Technical documentationdocs.datomic.comgraphdb.ontotext.com/­documentationravendb.net/­docs
DeveloperCognitectOntotextHibernating Rhinos
Initial release201220002010
Current release1.0.7180, July 202410.4, October 20235.4, July 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC#
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
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 (RQL)
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
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes
TriggersBy using transaction functionsnoyes
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 methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
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.Authorization levels configured per client per database

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More resources
DatomicGraphDB infoformer name: OWLIMRavenDB
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