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DBMS > FileMaker vs. GraphDB vs. Stardog

System Properties Comparison FileMaker vs. GraphDB vs. Stardog

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.claris.com/­filemakerwww.ontotext.comwww.stardog.com
Technical documentationwww.claris.com/­resources/­documentationgraphdb.ontotext.com/­documentationdocs.stardog.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperClaris infoa subsidiary of AppleOntotextStardog-Union
Initial release198320002010
Current release19.4.1, November 202110.4, October 20237.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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.yes infoA http query request can return the data in XML formatnono infoImport/export of XML data possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infovia pluginsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesPHP.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 in HA-Cluster
Foreign keys infoReferential integrityyesyes infoConstraint checkingyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesDefault 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 and roles
More information provided by the system vendor
FileMakerGraphDB infoformer name: OWLIMStardog
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FileMakerGraphDB infoformer name: OWLIMStardog
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