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DBMS > Grakn vs. GraphDB vs. Neo4j

System Properties Comparison Grakn vs. GraphDB vs. Neo4j

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  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.Enterprise-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.Open 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 DBMS
RDF store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#193  Overall
#17  Graph DBMS
#97  Relational DBMS
Score2.24
Rank#108  Overall
#6  Graph DBMS
#4  RDF stores
Score51.04
Rank#20  Overall
#1  Graph DBMS
Websitegrakn.aiwww.ontotext.comneo4j.com
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationneo4j.com/­docs
DeveloperGrakn LabsOntotextNeo4j, Inc.
Initial release201620002007
Current release2.0, April 20219.6, February 20214.2.4 , March 2021
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
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
All OS with a Java VM
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
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
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityyes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoby using CassandraMulti-source replicationCausal 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 Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoConstraint checkingyes 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 persistentyesyesyes
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 progressDefault 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.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GraknGraphDB infoformer name: OWLIMNeo4j
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

Today’s Biomedical Research Requires New Technologies
12 March 2021

A Clinical Decision Support System Built With a Knowledge Graph
16 February 2021

You’re Invited to Grakn Orbit 2021
12 February 2021

How to Succeed with Your First Grakn Project
12 February 2021

Grakn 2.0 Alpha: best practices of Distributed Systems and Computer Science
13 January 2021

This Week in Neo4j – Neo4j & Django, Analyzing Genomes, GGCD, Change Data Capture,
10 April 2021

Graphs for Real-Time Transaction Processing: 5-Minute Interview with Jorge Zaccaro
9 April 2021

Advantages of Neo4j Aura Enterprise: Innovative and Trusted
5 April 2021

This Week in Neo4j – Build a Knowledge Graph, GRANDstack Podcast App, Archimate Model,
3 April 2021

#GraphCast: Current Leverages Neo4j for a Modern Banking Approach
2 April 2021

Related products and services
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GraknGraphDB infoformer name: OWLIMNeo4j
DB-Engines blog posts

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12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Conferences and events

Grakn Orbit 2021
Online Event, 21-22 April 2021

Accelerated R&D with a FAIR Data Fabric in Life Sciences
Webinar, 7am PDT / 10am EDT / 5pm CEST / 6pm EEST, 14 April 2021

Finished events

Data Virtualization with GraphDB
Webinar, 4pm GMT / 5pm CEST / 6pm EET / 10am EST / 7am PST, 4 February 2021 (finished)

Generate Value from Your Knowledge Graph in Days
11am EST | 4pm GMT | 5pm CET, 4 March 2021 (finished)

What's wrong with your application? - presented by Graphable.ai
Webinar, 6 April 2021 (finished)

Recent citations in the news

Bayer, Capgemini, IBM and Flipkart Lead Roster of Speakers and Panelists at Grakn Orbit 2021
31 March 2021, WFMZ Allentown

Get Started With GRAKN.AI
10 March 2017, DZone News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

What Is an Ontology?
15 March 2017, DZone News

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

provided by Google News

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

eccenca and Ontotext Partner to Advance Enterprise Data Management
3 February 2021, AiThority

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

provided by Google News

MANTA Partners With Neo4j to Provide Customers With Enhanced Graph Technology for Data Pipeline Analysis
7 April 2021, Business Wire

HiPaaS announces OEM partnership with Neo4j to accelerate Healthcare EDI and Interoperability Solutions
24 March 2021, PR Web

The 7 Best Graph Databases to Consider for 2021
29 March 2021, Solutions Review

Database and DBaaS Market 2021 Business Scenario – Neo4j, Oracle, Rackspace, RDX, IBM, DataStax, CenturyLink, Redis Labs – The Courier
10 April 2021, The Courier

Graph Database Market Global Enhancements and Growth Outlook 2021 to 2027 | IBM, Microsoft, Oracle, AWS, Neo4j, OrientDB, TIBCO, Franz, OpenLink Software, MarkLogic, TigerGraph, DataStax, Ontotext, Stardog, Cray, ArangoDB , Bitnine, Objectivity, Memgraph, Cambridge Semantics, Fluree, and Blazegraph. – NeighborWebSJ
11 April 2021, NeighborWebSJ

provided by Google News

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