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DBMS > ArangoDB vs. GraphDB vs. GridDB vs. MySQL vs. TypeDB

System Properties Comparison ArangoDB vs. GraphDB vs. GridDB vs. MySQL vs. TypeDB

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGridDB  Xexclude from comparisonMySQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.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.Scalable in-memory time series database optimized for IoT and Big DataWidely used open source RDBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMS
RDF store
Time Series DBMSRelational DBMS infoKey/Value like access via memcached APIGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitearangodb.comwww.ontotext.comgriddb.netwww.mysql.comtypedb.com
Technical documentationdocs.arangodb.comgraphdb.ontotext.com/­documentationdocs.griddb.netdev.mysql.com/­doctypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagramLinkedInTwitterYouTubeGitHubMedium
DeveloperArangoDB Inc.OntotextToshiba CorporationOracle infosince 2010, originally MySQL AB, then SunVaticle
Initial release20122000201319952016
Current release3.11.5, November 202310.4, October 20235.1, August 20228.4.0, April 20242.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++JavaC++C and C++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-free and OWL/RDFS-schema support; RDF shapesyesyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonoyesno
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL92, SQL-like TQL (Toshiba Query Language)yes infowith proprietary extensionsno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresJavaScriptwell-defined plugin interfaces; JavaScript server-side extensibilitynoyes infoproprietary syntaxno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0noneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoConstraint checkingnoyes infonot for MyISAM storage engineno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesDefault 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.Access rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or rolesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
ArangoDBGraphDB infoformer name: OWLIMGridDBMySQLTypeDB infoformerly named Grakn
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Metadata enrichment and management, linked data publishing, semantic inferencing...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
GitHub trending repository
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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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
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