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DBMS > GraphDB vs. HEAVY.AI vs. TerminusDB

System Properties Comparison GraphDB vs. HEAVY.AI vs. TerminusDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionEnterprise-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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.87
Rank#98  Overall
#8  Graph DBMS
#4  RDF stores
Score1.52
Rank#147  Overall
#67  Relational DBMS
Score0.18
Rank#320  Overall
#29  Graph DBMS
Websitewww.ontotext.comgithub.com/­heavyai/­heavydb
www.heavy.ai
terminusdb.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.heavy.aiterminusdb.github.io/­terminusdb/­#
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextHEAVY.AI, Inc.DataChemist Ltd.
Initial release200020162018
Current release10.4, October 20235.10, January 202211.0.0, January 2023
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAProlog, Rust
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesSQL-like query language (WOQL)
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Thrift
Vega
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlDefault 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-standardRole-based access control
More information provided by the system vendor
GraphDB infoformer name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022TerminusDB infoformer name was DataChemist
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
GraphDB infoformer name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022TerminusDB infoformer name was DataChemist
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