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DBMS > GraphDB vs. GridGain vs. SiriDB

System Properties Comparison GraphDB vs. GridGain vs. SiriDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGridGain  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionEnterprise-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.GridGain is an in-memory computing platform, built on Apache IgniteOpen Source Time Series DBMS
Primary database modelGraph DBMS
RDF store
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#96  Overall
#7  Graph DBMS
#4  RDF stores
Score1.37
Rank#154  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Score0.04
Rank#361  Overall
#38  Time Series DBMS
Websitewww.ontotext.comwww.gridgain.comsiridb.com
Technical documentationgraphdb.ontotext.com/­documentationwww.gridgain.com/­docs/­index.htmldocs.siridb.com
Social network pagesGitHubLinkedInTwitterMediumYouTube
DeveloperOntotextGridGain Systems, Inc.Cesbit
Initial release200020072017
Current release10.4, October 2023GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial, open sourceOpen Source infoMIT License
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.
Implementation languageJavaJava, C++, .Net, Python, REST, SQLC
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
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.noyesno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
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 checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlDefault 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.Role-based access control
Security Hooks for custom implementations
simple rights management via user accounts
More information provided by the system vendor
GraphDB infoformer name: OWLIMGridGainSiriDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more

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More resources
GraphDB infoformer name: OWLIMGridGainSiriDB
Recent citations in the news

A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise
28 October 2024, The Recursive

Semantic Web Company and Ontotext merge to form Graphwise
23 October 2024, Blocks and Files

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
23 October 2024, PR Newswire

Semantic Web Company and Ontotext merge to create knowledge graph and AI powerhouse Graphwise
23 October 2024, intelligentcio.com

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12 July 2024, Solutions Review

Nikita Ivanov - GridGain Systems, Founder and CTO
24 April 2018, TechTarget

GridGain In-Memory Data Fabric Becomes Apache Ignite
9 April 2015, Linux.com

This little fish has teeth: GridGain takes on Oracle, SAP with its in-memory computing tech
15 October 2013, VentureBeat

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