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DBMS > Grakn vs. GraphDB vs. JanusGraph vs. Neo4j vs. OmniSci

System Properties Comparison Grakn vs. GraphDB vs. JanusGraph vs. Neo4j vs. OmniSci

Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNeo4j  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open source graph databaseA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
RDF store
Graph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#207  Overall
#17  Graph DBMS
#100  Relational DBMS
Score1.18
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score1.79
Rank#120  Overall
#7  Graph DBMS
Score51.78
Rank#21  Overall
#1  Graph DBMS
Score1.85
Rank#118  Overall
#57  Relational DBMS
Websitegrakn.aigraphdb.ontotext.comjanusgraph.orgneo4j.comwww.omnisci.com
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgneo4j.com/­docsdocs.omnisci.com/­latest
DeveloperGrakn LabsOntotextLinux Foundation; originally developed as Titan by AureliusNeo4j, Inc.MapD Technologies, Inc.
Initial release20162000201720072016
Current release1.6.2, January 20208.8, January 20190.5.0, March 20204.0.2, March 2020V4
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJava, ScalaC++ and CUDA
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-free and schema-optionalyes
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.nononono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLnoSPARQL is used as query languagenonoyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Thrift
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Server Pluginyesyes infoUser defined Procedures and Functionsno
Triggersnonoyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphsyes 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 persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph ServerUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
GraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanNeo4jOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

Unsolved Machine Learning Problems That You Can Solve
9 July 2019

Drug Discovery Knowledge Graphs
7 June 2019

Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications
19 March 2020

How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 
6 March 2020

Crafting a Knowledge Graph: The Semantic Data Modeling Way
20 February 2020

How Computer Vision Technology Can Bring Smart Surveillance to Retail    
6 February 2020

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
23 January 2020

Detecting Cryptocurrency Fraud with Neo4j
30 March 2020

This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management
28 March 2020

Q+A with Keith Hare: Newest Neo4j Team Member, Active in the Database Query Standards Process Since 1988
27 March 2020

Announcing Graphs4Good GraphHack
26 March 2020

Getting Started with the Neo4j BI Connector
24 March 2020

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More resources
GraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanNeo4jOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Conferences and events

GraphDB 9.1: Knowledge Graphs with Data Provenance
Webinar, 2 March 2020 (finished)

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

GraphConnect 2020
Postponed to 2021 due to COVID-19, 20-22 April 2020

Recent citations in the news

Get Started With GRAKN.AI
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GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
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Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
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