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DBMS > Datomic vs. RDFox

System Properties Comparison Datomic vs. RDFox

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.datomic.comwww.oxfordsemantic.tech
Technical documentationdocs.datomic.comdocs.oxfordsemantic.tech
DeveloperCognitectOxford Semantic Technologies
Initial release20122017
Current release1.0.6735, June 20236.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Data schemeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
Java
C
Java
Server-side scripts infoStored proceduresyes infoTransaction Functions
TriggersBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 controlnoRoles, resources, and access types

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More resources
DatomicRDFox
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