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DBMS > 4D vs. GraphDB vs. Rockset vs. XTDB

System Properties Comparison 4D vs. GraphDB vs. Rockset vs. XTDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRockset  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemEnterprise-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.A scalable, reliable search and analytics service in the cloud, built on RocksDBA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSGraph DBMS
RDF store
Document storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.82
Rank#212  Overall
#36  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.4d.comwww.ontotext.comrockset.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdeveloper.4d.comgraphdb.ontotext.com/­documentationdocs.rockset.comwww.xtdb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
Developer4D, IncOntotextRocksetJuxt Ltd.
Initial release1984200020192019
Current releasev20, April 202310.4, October 20231.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Clojure
Server operating systemsOS X
Windows
All OS with a Java VM
Linux
OS X
Windows
hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typingyes, extensible-data-notation format
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.yesnono infoingestion from XML files supportedno
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesall fields are automatically indexedyes
SQL infoSupport of SQLyes infoclose to SQL 92stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCRead-only SQL queries, including JOINslimited SQL, making use of Apache Calcite
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP RESTHTTP REST
JDBC
Supported programming languages4D proprietary IDE
PHP
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilitynono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Foreign keys infoReferential integrityyesyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 groupsDefault 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 and organizations can be defined via Rockset console
More information provided by the system vendor
4D infoformer name: 4th DimensionGraphDB infoformer name: OWLIMRocksetXTDB infoformerly named Crux
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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