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DBMS > Atos Standard Common Repository vs. GraphDB vs. TerminusDB

System Properties Comparison Atos Standard Common Repository vs. GraphDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEnterprise-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 relationships
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ontotext.comterminusdb.com
Technical documentationgraphdb.ontotext.com/­documentationterminusdb.github.io/­terminusdb/­#
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAtos Convergence CreatorsOntotextDataChemist Ltd.
Initial release201620002018
Current release170310.4, October 202311.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaProlog, Rust
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesnono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language (WOQL)
APIs and other access methodsLDAPGeoSPARQL
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)
Supported programming languagesAll languages with LDAP bindings.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlLDAP bind authenticationDefault 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 control
More information provided by the system vendor
Atos Standard Common RepositoryGraphDB infoformer name: OWLIMTerminusDB infoformer name was DataChemist
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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Atos Standard Common RepositoryGraphDB infoformer name: OWLIMTerminusDB infoformer name was DataChemist
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