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DBMS > AllegroGraph vs. GridDB vs. OrientDB vs. SWC-DB

System Properties Comparison AllegroGraph vs. GridDB vs. OrientDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGridDB  Xexclude from comparisonOrientDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable in-memory time series database optimized for IoT and Big DataMulti-model DBMS (Document, Graph, Key/Value)A high performance, scalable Wide Column DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#154  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score1.30
Rank#151  Overall
#10  Time Series DBMS
Score4.05
Rank#82  Overall
#13  Document stores
#5  Graph DBMS
#12  Key-value stores
Score0.00
Rank#353  Overall
#13  Wide column stores
Websiteallegrograph.comgriddb.netorientdb.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.griddb.netwww.orientdb.com/­docs/­last/­index.html
DeveloperFranz Inc.Toshiba CorporationOrientDB LTD; CallidusCloud; SAPAlex Kashirin
Initial release2004201320102020
Current release7.2, October 20214.6, February 20213.1.9, February 20210.5, April 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java JDK (>= JDK 6)Linux
Data schemeyes infoRDF schemasyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language, no joinsSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocolTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava, Javascriptno
TriggersyesyesHooksno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users can be defined per databaseAccess rights for users and roles; record level security configurable
More information provided by the system vendor
AllegroGraphGridDBOrientDBSWC-DB infoSuper Wide Column Database
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
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AllegroGraphGridDBOrientDBSWC-DB infoSuper Wide Column Database
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