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DBMS > GRAKN.AI vs. GraphDB vs. Neo4j

System Properties Comparison GRAKN.AI vs. GraphDB vs. Neo4j

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Editorial information provided by DB-Engines
NameGRAKN.AI  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 RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Score1.13
Rank#141  Overall
#8  Graph DBMS
#5  RDF stores
Score50.53
Rank#22  Overall
#1  Graph DBMS
Websitegrakn.aigraphdb.ontotext.comneo4j.com
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationneo4j.com/­docs
DeveloperGrakn Labs LtdOntotextNeo4j, Inc.
Initial release201620002007
Current release1.5.8, August 20198.8, January 20193.5.8, July 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen 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.
Neo4j Aura: The simplest way to run Neo4j in the cloud
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 supportschema-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 SQLnoSPARQL is used as query languageno
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
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 proceduresnoJava Server Pluginyes 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 nodesMaster-master replication infoby using CassandraMaster-master 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 progressyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GRAKN.AIGraphDB 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

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

Semantic Technology and the Strive for Drug Safety
21 October 2019

Artificial Intelligence and the Knowledge Graph
10 October 2019

Semantic Technology-based Media Publishing Boosts User Engagement
26 September 2019

Semantic Search or Knowing Your Customers So Well, You Can Finish Their Sentences For Them
10 September 2019

This Week in Neo4j – APOC Pearls, Exploring Full-Text Search, Exploring structural balance, Graphistania v2.0
16 November 2019

#GraphCast: “Graph Databases Will Change Your Freakin’ Life”
15 November 2019

Fullstack GraphQL with Neo4j
13 November 2019

Real Examples of Why We Need Context for Responsible AI
12 November 2019

This Week in Neo4j – Neo4j Aura is Here, Graph Embeddings, Graph Modeling: All about relationships, Exploring Structural Balance
9 November 2019

Related products and services

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

More resources
GRAKN.AIGraphDB infoformer name: OWLIMNeo4j
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
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 Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

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

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

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

GraphQL And The Rise of Universal Data Access
28 October 2019, Forbes

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

provided by Google News

Neo4j introduces new cloud service to simplify building a graph database
6 November 2019, TechCrunch

Neo4j is the Graph Database of Choice for World's Top Financial Services Organizations
22 October 2019, PRNewswire

Small or medium business? Neo4j wants to run a graph database for you in the cloud
7 November 2019, ZDNet

Neo4J Launches Cloud Graph Database
13 November 2019, iProgrammer

Neo4j Releases Native Graph Database as a Service Platform
12 November 2019, Database Trends and Applications

provided by Google News

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