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DBMS > GraphDB vs. MySQL

System Properties Comparison GraphDB vs. MySQL

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Our visitors often compare GraphDB and MySQL with MongoDB, Neo4j and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportWidely used open source RDBMS
Primary database modelGraph DBMS
RDF store
Relational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#142  Overall
#10  Graph DBMS
#5  RDF stores
Score1261.57
Rank#2  Overall
#2  Relational DBMS
Websitegraphdb.ontotext.comwww.mysql.com
Technical documentationgraphdb.ontotext.com/­documentationdev.mysql.com/­doc
DeveloperOntotextOracle infosince 2010, originally MySQL AB, then Sun
Initial release20001995
Current release8.8, January 20198.0.21, 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceno 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.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJavaC and C++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensions
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Server Pluginyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GraphDB infoformer name: OWLIMMySQL
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

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.

Related products and services
3rd partiesNavicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
» more

Datadog: Improve MySQL performance by visualizing and identifying errors fast using granular, out-of-the-box dashboards.
» more

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

More resources
GraphDB infoformer name: OWLIMMySQL
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Conferences and events

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Webinar, 8:00 AM PST / 11:00 AM EST / 5:00 PM CEST, 30 July 2020 (finished)

Recent citations in the news

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

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

Semantic Web Company and Ontotext Partner to Advance Enterprise Knowledge Graphs
17 June 2020, PR Newswire UK

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

provided by Google News

ScaleFlux computational storage makes Percona MySQL faster
5 August 2020, Blocks and Files

Best data management course deal: 95% off MySQL bootcamp (UK deal)
2 August 2020, Mashable

PHP MYSQL Programming, For Beginners, Quick Start Guide.
8 August 2020, Digital Market News

MYSQL Programming, For Beginners, Quick Start Guide.
9 August 2020, Digital Market News

Why MongoDB is 'fundamentally better' for developers
10 August 2020, OmniChannel Media

provided by Google News

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