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DBMS > Grakn vs. JanusGraph vs. Neo4j

System Properties Comparison Grakn vs. JanusGraph vs. Neo4j

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open source graph database
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 DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#192  Overall
#16  Graph DBMS
#95  Relational DBMS
Score2.40
Rank#116  Overall
#7  Graph DBMS
Score51.34
Rank#21  Overall
#1  Graph DBMS
Websitegrakn.aijanusgraph.orgneo4j.com
Technical documentationdev.grakn.ai/­docsdocs.janusgraph.orgneo4j.com/­docs
DeveloperGrakn LabsLinux Foundation; originally developed as Titan by AureliusNeo4j, Inc.
Initial release201620172007
Current release1.8.3, September 20200.5.2, May 20204.1.3, October 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesschema-free and schema-optional
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.nono
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonono
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
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
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyes infoUser defined Procedures and Functions
Triggersnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoby using CassandrayesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.no
User concepts infoAccess controlyes infoat REST API level; other APIs in progressUser authentification and security via Rexster Graph ServerUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GraknJanusGraph infosuccessor of TitanNeo4j
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» 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
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
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j 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
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Discover, Build, Inspire with Grakn - We’ll take care of the swag!
18 August 2020

Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
15 June 2020

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

GRANDstack: Graphs All the Way Down
28 October 2020

Graphistania Podcast: Authors Discuss Graph Databases For Dummies
27 October 2020

This Week in Neo4j – Graph-Native Machine Learning in Neo4j, All About Super Nodes, Quick prototyping with GRAND stack
24 October 2020

#GraphCast: Graph Data Science Library
23 October 2020

Graph Visualization Just Got Easier: Introducing Neo4j Bloom 1.4!
22 October 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraknJanusGraph infosuccessor of TitanNeo4j
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