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DBMS > GraphDB vs. Hive vs. SQL.JS vs. Tkrzw

System Properties Comparison GraphDB vs. Hive vs. SQL.JS vs. Tkrzw

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHive  Xexclude from comparisonSQL.JS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.data warehouse software for querying and managing large distributed datasets, built on HadoopPort of SQLite to JavaScriptA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.ontotext.comhive.apache.orgsql.js.orgdbmx.net/­tkrzw
Technical documentationgraphdb.ontotext.com/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homesql.js.org/­documentation/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextApache Software Foundation infoinitially developed by FacebookAlon Zakai infoenhancements implemented by othersMikio Hirabayashi
Initial release2000201220122020
Current release10.4, October 20233.1.3, April 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedno
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
Thrift
JavaScript API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
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, groups and rolesnono
More information provided by the system vendor
GraphDB infoformer name: OWLIMHiveSQL.JSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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GraphDB infoformer name: OWLIMHiveSQL.JSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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