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DBMS > MySQL vs. Neo4j vs. Stardog

System Properties Comparison MySQL vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionWidely used open source RDBMSOpen source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelRelational DBMS infoKey/Value like access via memcached APIGraph DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1253.68
Rank#2  Overall
#2  Relational DBMS
Score48.39
Rank#22  Overall
#1  Graph DBMS
Score0.89
Rank#165  Overall
#12  Graph DBMS
#6  RDF stores
Websitewww.mysql.comneo4j.comwww.stardog.com
Technical documentationdev.mysql.com/­docneo4j.com/­docswww.stardog.com/­docs
DeveloperOracle infosince 2010, originally MySQL AB, then SunNeo4j, Inc.Stardog-Union
Initial release199520072010
Current release8.0.17, July 20193.5.4, April 20196.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC and C++Java, ScalaJava
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-free and schema-optionalschema-free and OWL/RDFS-schema support
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.yesno infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infowith proprietary extensionsnoSPARQL is used as query language
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesAda
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoproprietary syntaxyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
MySQLNeo4jStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
News

Context for AI Ops: 5-Minute Interview with Atul Gupta
23 August 2019

Announcing Data Science with Neo4j And Applied Graph Algorithms Online Training Courses
22 August 2019

AI & Graph Technology: Connections Improve Accuracy
19 August 2019

This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination
17 August 2019

#GraphCast: Better Data, Better Decisions
16 August 2019

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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More resources
MySQLNeo4jStardog
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Conferences and events

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

Recent citations in the news

How to create a MySQL relational database in AWS
22 August 2019, TechRepublic

DigitalOcean launches managed MySQL and Redis database services
20 August 2019, TechCrunch

news digest: DigitalOcean announces managed databases for MySQL and Redis, Waymo's Open Dataset, and GitHub Enterprise Server 2.18 - SD Times
21 August 2019, SDTimes.com

After PostgreSQL, DigitalOcean now adds MySQL and Redis to its managed databases’ offering
20 August 2019, Packt Hub

SiteLock Extends Database Security Reach to MySQL
7 August 2019, Security Boulevard

provided by Google News

Neo4j charts tighter grip on graph data-at-rest
29 July 2019, ComputerWeekly.com

NEORIS Forges Global Partnership with Neo4j to Augment Human Intelligence and Data Management Capabilities at Scale
1 August 2019, PRNewswire

New Graph Database Performance Benchmark Confirms Graph Databases are Ready for Solving Real-World Business Intelligence, Data Challenges
14 August 2019, Yahoo Finance

Graph Databases Software Market Is Booming Worldwide | Top key Players Like Neo4j, ArangoDB, Amazon Neptune, OrientDB, Cassandra, FlockDB, Cayley, Titan, IBM Graph
23 August 2019, Indian Columnist

Neo4j raises $80 million for next-generation graph databases
1 November 2018, VentureBeat

provided by Google News

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