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DBMS > Datomic vs. GraphDB vs. GreptimeDB

System Properties Comparison Datomic vs. GraphDB vs. GreptimeDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGreptimeDB  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.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series 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
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitewww.datomic.comwww.ontotext.comgreptime.com
Technical documentationdocs.datomic.comgraphdb.ontotext.com/­documentationdocs.greptime.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperCognitectOntotextGreptime Inc.
Initial release201220002022
Current release1.0.7075, December 202310.4, October 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaRust
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free, schema definition possible
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/ODBCyes
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
gRPC
HTTP API
JDBC
Supported programming languagesClojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionswell-defined plugin interfaces; JavaScript server-side extensibilityPython
TriggersBy using transaction functionsno
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.Simple rights management via user accounts
More information provided by the system vendor
DatomicGraphDB infoformer name: OWLIMGreptimeDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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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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- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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For IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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GreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
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DatomicGraphDB infoformer name: OWLIMGreptimeDB
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