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DBMS > GraphDB vs. HugeGraph vs. KairosDB vs. OpenEdge

System Properties Comparison GraphDB vs. HugeGraph vs. KairosDB vs. OpenEdge

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHugeGraph  Xexclude from comparisonKairosDB  Xexclude from comparisonOpenEdge  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.A fast-speed and highly-scalable Graph DBMSDistributed Time Series DBMS based on Cassandra or H2Application development environment with integrated database management system
Primary database modelGraph DBMS
RDF store
Graph DBMSTime Series 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websitewww.ontotext.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­kairosdb/­kairosdbwww.progress.com/­openedge
Technical documentationgraphdb.ontotext.com/­documentationhugegraph.apache.org/­docskairosdb.github.iodocumentation.progress.com/­output/­ua/­OpenEdge_latest
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextBaiduProgress Software Corporation
Initial release2000201820131984
Current release10.4, October 20230.91.2.2, November 2018OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Unix
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-freeyes
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.nononoyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnonoyes infoclose to SQL 92
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Python
Java
JavaScript infoNode.js
PHP
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityasynchronous Gremlin script jobsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoedges in graphnoyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
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.Users, roles and permissionssimple password-based access controlUsers and groups
More information provided by the system vendor
GraphDB infoformer name: OWLIMHugeGraphKairosDBOpenEdge
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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