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DBMS > 4D vs. Dgraph vs. GraphDB vs. TDengine

System Properties Comparison 4D vs. Dgraph vs. GraphDB vs. TDengine

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDgraph  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemDistributed and scalable native Graph DBMSEnterprise-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.Time Series DBMS and big data platform
Primary database modelRelational DBMSGraph DBMSGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.4d.comdgraph.iowww.ontotext.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdeveloper.4d.comdgraph.io/­docsgraphdb.ontotext.com/­documentationdocs.tdengine.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
Developer4D, IncDgraph Labs, Inc.OntotextTDEngine, previously Taos Data
Initial release1984201620002019
Current releasev20, April 202310.4, October 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen 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 languageGoJavaC
Server operating systemsOS X
Windows
Linux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLyes infoclose to SQL 92nostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCStandard SQL with extensions for time-series applications
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnowell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersyesnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication via RaftMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityyesnoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.no
User concepts infoAccess controlUsers and groupsno infoPlanned for future releasesDefault 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.yes
More information provided by the system vendor
4D infoformer name: 4th DimensionDgraphGraphDB infoformer name: OWLIMTDengine
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
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TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
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Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» 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
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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