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DBMS > Datomic vs. GraphDB vs. Interbase vs. SurrealDB

System Properties Comparison Datomic vs. GraphDB vs. Interbase vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonInterbase  Xexclude from comparisonSurrealDB  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.Light-weight proven RDBMS infooriginally from BorlandA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datomic.comwww.ontotext.comwww.embarcadero.com/­products/­interbasesurrealdb.com
Technical documentationdocs.datomic.comgraphdb.ontotext.com/­documentationdocs.embarcadero.com/­products/­interbasesurrealdb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperCognitectOntotextEmbarcaderoSurrealDB Ltd
Initial release2012200019842022
Current release1.0.7075, December 202310.4, October 2023InterBase 2020, December 2019v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaCRust
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
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 infoexport as XML data possible
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/ODBCyesSQL-like query language
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
ADO.NET
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes infoInterbase procedure and trigger language
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyes
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.fine grained access rights according to SQL-standardyes, based on authentication and database rules
More information provided by the system vendor
DatomicGraphDB infoformer name: OWLIMInterbaseSurrealDB
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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More resources
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