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DBMS > Dgraph vs. GraphDB vs. GridGain vs. JanusGraph vs. KairosDB

System Properties Comparison Dgraph vs. GraphDB vs. GridGain vs. JanusGraph vs. KairosDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-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.GridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed Time Series DBMS based on Cassandra or H2
Primary database modelGraph DBMSGraph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitedgraph.iowww.ontotext.comwww.gridgain.comjanusgraph.orggithub.com/­kairosdb/­kairosdb
Technical documentationdgraph.io/­docsgraphdb.ontotext.com/­documentationwww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgkairosdb.github.io
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDgraph Labs, Inc.OntotextGridGain Systems, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release20162000200720172013
Current release10.4, October 2023GridGain 8.5.10.6.3, February 20231.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava, C++, .NetJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)yesno
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationyes (replicated cache)yesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
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 ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoPlanned for future releasesDefault 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.Security Hooks for custom implementationsUser authentification and security via Rexster Graph Serversimple password-based access control
More information provided by the system vendor
DgraphGraphDB infoformer name: OWLIMGridGainJanusGraph infosuccessor of TitanKairosDB
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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