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DBMS > GraphDB vs. IBM Cloudant vs. Microsoft Azure SQL Database vs. Splice Machine

System Properties Comparison GraphDB vs. IBM Cloudant vs. Microsoft Azure SQL Database vs. Splice Machine

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEnterprise-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.Database as a Service offering based on Apache CouchDBDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score2.68
Rank#106  Overall
#20  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ontotext.comwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­products/­azure-sql/­databasesplicemachine.com
Technical documentationgraphdb.ontotext.com/­documentationcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­en-us/­azure/­azure-sqlsplicemachine.com/­how-it-works
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftSplice Machine
Initial release2000201020102014
Current release10.4, October 2023V123.1, March 2021
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
hostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyesyes
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityView functions (Map-Reduce) in JavaScriptTransact SQLyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMIBM CloudantMicrosoft Azure SQL Database infoformerly SQL AzureSplice Machine
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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