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DBMS > FatDB vs. GraphDB vs. JSqlDb vs. Vitess

System Properties Comparison FatDB vs. GraphDB vs. JSqlDb vs. Vitess

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJSqlDb  Xexclude from comparisonVitess  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.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.JavaScript Query Language Database, stores JavaScript objects and primitivesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Document store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitewww.ontotext.comjsqldb.org (offline)vitess.io
Technical documentationgraphdb.ontotext.com/­documentationvitess.io/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperFatCloudOntotextKonrad von BackstromThe Linux Foundation, PlanetScale
Initial release2012200020182013
Current release10.4, October 20230.8, December 201815.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaGo
Server operating systemsWindowsAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serverstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes infowith proprietary extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia applicationswell-defined plugin interfaces; JavaScript server-side extensibilityfunctions in JavaScriptyes infoproprietary syntax
Triggersyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsDefault 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 with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
FatDBGraphDB infoformer name: OWLIMJSqlDbVitess
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

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FatDBGraphDB infoformer name: OWLIMJSqlDbVitess
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