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DBMS > GraphDB vs. HEAVY.AI vs. JanusGraph vs. OrigoDB vs. TypeDB

System Properties Comparison GraphDB vs. HEAVY.AI vs. JanusGraph vs. OrigoDB vs. TypeDB

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 comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOrigoDB  Xexclude from comparisonTypeDB infoformerly named Grakn  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 hardwareA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A fully ACID in-memory object graph databaseTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSDocument store
Object oriented DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score1.01
Rank#202  Overall
#19  Graph DBMS
#92  Relational DBMS
Websitewww.ontotext.comgithub.com/­heavyai/­heavydb
www.heavy.ai
janusgraph.orgorigodb.comtypedb.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.heavy.aidocs.janusgraph.orgorigodb.com/­docstypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextHEAVY.AI, Inc.Linux Foundation; originally developed as Titan by AureliusRobert Friberg et alVaticle
Initial release2000201620172009 infounder the name LiveDB2016
Current release10.4, October 20235.10, January 20220.6.3, February 20232.26.3, January 2024
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open SourceOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAJavaC#Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NETno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesnonono
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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
HTTP API
LINQ
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Clojure
Java
Python
.NetAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynoyesyesno
Triggersnonoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning infoclient side managed; servers are not synchronizedSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyesSource-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes infoRelationships in graphsdepending on modelno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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-standardUser authentification and security via Rexster Graph ServerRole based authorizationyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GraphDB infoformer name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JanusGraph infosuccessor of TitanOrigoDBTypeDB infoformerly named Grakn
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
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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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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GraphDB infoformer name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JanusGraph infosuccessor of TitanOrigoDBTypeDB infoformerly named Grakn
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