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DBMS > FoundationDB vs. GraphDB vs. TerminusDB vs. WakandaDB

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

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWakandaDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Enterprise-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.Scalable 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
RDF store
Graph DBMSObject oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitegithub.com/­apple/­foundationdbwww.ontotext.comterminusdb.comwakanda.github.io
Technical documentationapple.github.io/­foundationdbgraphdb.ontotext.com/­documentationterminusdb.github.io/­terminusdb/­#wakanda.github.io/­doc
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperFoundationDBOntotextDataChemist Ltd.Wakanda SAS
Initial release2013200020182012
Current release6.2.28, November 202010.4, October 202311.0.0, January 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL V3Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaProlog, RustC++, JavaScript
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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 indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLsupported in specific SQL layer onlystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-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
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresin SQL-layer onlywell-defined plugin interfaces; JavaScript server-side extensibilityyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationJournaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.no
User concepts infoAccess controlnoDefault 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
FoundationDBGraphDB infoformer name: OWLIMTerminusDB 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
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FoundationDBGraphDB infoformer name: OWLIMTerminusDB infoformer name was DataChemistWakandaDB
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