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DBMS > atoti vs. GraphDB vs. InterSystems Caché vs. mSQL

System Properties Comparison atoti vs. GraphDB vs. InterSystems Caché vs. mSQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.A multi-model DBMS and application servermSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelObject oriented DBMSGraph DBMS
RDF store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteatoti.iowww.ontotext.comwww.intersystems.com/­products/­cachehughestech.com.au/­products/­msql
Technical documentationdocs.atoti.iographdb.ontotext.com/­documentationdocs.intersystems.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperActiveViamOntotextInterSystemsHughes Technologies
Initial release200019971994
Current release10.4, October 20232018.1.4, May 20204.4, October 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial infofree licenses can be provided
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 languageJavaJavaC
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesdepending on used data modelyes
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.noyesno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresPythonwell-defined plugin interfaces; JavaScript server-side extensibilityyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
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 Consistencynone
Foreign keys infoReferential integrityyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesno
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.yesyesno
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.Access rights for users, groups and rolesno
More information provided by the system vendor
atotiGraphDB infoformer name: OWLIMInterSystems CachémSQL infoMini SQL
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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