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DBMS > Grakn vs. MySQL vs. Neo4j

System Properties Comparison Grakn vs. MySQL vs. Neo4j

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonMySQL  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.Widely used open source RDBMSOpen 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.
Relational DBMS infoKey/Value like access via memcached APIGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#206  Overall
#18  Graph DBMS
#103  Relational DBMS
Score1243.37
Rank#2  Overall
#2  Relational DBMS
Score52.16
Rank#19  Overall
#1  Graph DBMS
Websitegrakn.aiwww.mysql.comneo4j.com
Technical documentationdev.grakn.ai/­docsdev.mysql.com/­docneo4j.com/­docs
DeveloperGrakn LabsOracle infosince 2010, originally MySQL AB, then SunNeo4j, Inc.
Initial release201619952007
Current release1.8.4, November 20208.0.23 , January 20214.2.3, January 2021
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen 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.
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Implementation languageJavaC and C++Java, Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
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.noyes
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyes infowith proprietary extensionsno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
ADO.NET
JDBC
ODBC
Proprietary native API
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes infoUser defined Procedures and Functions
Triggersnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandrahorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoby using CassandraMulti-source replication
Source-replica replication
Causal 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 ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infonot for MyISAM storage engineyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.noyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressUsers with fine-grained authorization concept infono user groups or rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GraknMySQLNeo4j
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

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

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

This Week in Neo4j – Information Extraction Pipeline, Chakra UI Component Library, NODES 2021
27 February 2021

Graphs in China: 5-Minute Interview with Richard Wu & George Zhang
26 February 2021

Unearthing Historical Networks Using Neo4j and Archival Documents
25 February 2021

Top 10 Use Cases: Empowering Network and IT Operations Management
22 February 2021

This Week in Neo4j – Structured data embedded in web pages, Speaker Listener LPA, Neo4j at NASA
20 February 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Conferences and events

Grakn Orbit 2021
Online Event, 21-22 April 2021

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