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DBMS > GraphDB vs. GridDB vs. InterSystems IRIS vs. TDengine

System Properties Comparison GraphDB vs. GridDB vs. InterSystems IRIS vs. TDengine

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTDengine  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 DataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTime Series DBMS and big data platform
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.ontotext.comgriddb.netwww.intersystems.com/­products/­intersystems-irisgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.tdengine.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextToshiba CorporationInterSystemsTDEngine, previously Taos Data
Initial release2000201320182019
Current release10.4, October 20235.1, August 20222023.3, June 20233.0, August 2022
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 availablecommercialOpen Source infoAGPL V3, also commercial editions available
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 languageJavaC++C
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes 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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL92, SQL-like TQL (Toshiba Query Language)yesStandard SQL with extensions for time-series applications
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
JDBC
ODBC
RESTful HTTP API
JDBC
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 (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynoyesno
Triggersnoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
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 containersImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesno
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.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.Access rights for users can be defined per databaseyesyes
More information provided by the system vendor
GraphDB infoformer name: OWLIMGridDBInterSystems IRISTDengine
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
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 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
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» 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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» 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
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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GraphDB infoformer name: OWLIMGridDBInterSystems IRISTDengine
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