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DBMS > GraphDB vs. Pinecone vs. TerminusDB vs. WakandaDB

System Properties Comparison GraphDB vs. Pinecone vs. TerminusDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonPinecone  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWakandaDB  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 managed, cloud-native vector databaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
RDF store
Vector DBMSGraph DBMSObject oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#98  Overall
#8  Graph DBMS
#4  RDF stores
Score3.06
Rank#87  Overall
#4  Vector DBMS
Score0.17
Rank#318  Overall
#28  Graph DBMS
Score0.03
Rank#361  Overall
#17  Object oriented DBMS
Websitewww.ontotext.comwww.pinecone.ioterminusdb.comwakanda.github.io
Technical documentationgraphdb.ontotext.com/­documentationdocs.pinecone.io/­docs/­overviewterminusdb.github.io/­terminusdb/­#wakanda.github.io/­doc
Social network pagesGitHubLinkedInTwitterMediumYouTube
DeveloperOntotextPinecone Systems, IncDataChemist Ltd.Wakanda SAS
Initial release2000201920182012
Current release10.4, October 202311.0.0, January 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoGPL V3Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, RustC++, JavaScript
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
hostedLinuxLinux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes
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.nononono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoSQL-like query language (WOQL)no
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
PythonJavaScript
Python
JavaScript
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationJournaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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
Foreign keys infoReferential integrityyes infoConstraint checkingyes
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 persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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.Role-based access controlyes
More information provided by the system vendor
GraphDB infoformer name: OWLIMPineconeTerminusDB infoformer name was DataChemistWakandaDB
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
News

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22 August 2024

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GraphDB infoformer name: OWLIMPineconeTerminusDB infoformer name was DataChemistWakandaDB
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