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DBMS > GraphDB vs. GridDB vs. Microsoft Azure Cosmos DB vs. SpaceTime vs. SpatiaLite

System Properties Comparison GraphDB vs. GridDB vs. Microsoft Azure Cosmos DB vs. SpaceTime vs. SpatiaLite

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpatiaLite  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.Scalable in-memory time series database optimized for IoT and Big DataGlobally distributed, horizontally scalable, multi-model database serviceSpaceTime is a spatio-temporal DBMS with a focus on performance.Spatial extension of SQLite
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Spatial DBMSSpatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.ontotext.comgriddb.netazure.microsoft.com/­services/­cosmos-dbwww.mireo.com/­spacetimewww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationgraphdb.ontotext.com/­documentationdocs.griddb.netlearn.microsoft.com/­azure/­cosmos-dbwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextToshiba CorporationMicrosoftMireoAlessandro Furieri
Initial release20002013201420202008
Current release10.4, October 20235.1, August 20225.0.0, August 2020
License infoCommercial or Open Sourcecommercial 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 availablecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxhostedLinuxserver-less
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes infoJSON typesyesyes
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.nononono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageA subset of ANSI SQL is implementedyes
APIs and other access methodsGeoSPARQL
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
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
C++
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynoJavaScriptnono
TriggersnoyesJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes infoImplicit feature of the cloud serviceReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
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 within container, eventual consistency across containersBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
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.Access rights for users can be defined per databaseAccess rights can be defined down to the item levelyesno
More information provided by the system vendor
GraphDB infoformer name: OWLIMGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpaceTimeSpatiaLite
Specific characteristicsOntotext 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
Competitive advantagesGraphDB 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
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customers​ 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 metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
GitHub trending repository
» more
Licensing and pricing modelsGraphDB 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
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More resources
GraphDB infoformer name: OWLIMGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpaceTimeSpatiaLite
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