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DBMS > GraphDB vs. GridGain vs. Microsoft SQL Server vs. SWC-DB

System Properties Comparison GraphDB vs. GridGain vs. Microsoft SQL Server vs. SWC-DB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.GridGain is an in-memory computing platform, built on Apache IgniteMicrosofts flagship relational DBMSA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#111  Overall
#7  Graph DBMS
#5  RDF stores
Score2.06
Rank#125  Overall
#25  Key-value stores
#61  Relational DBMS
Score941.20
Rank#3  Overall
#3  Relational DBMS
Score0.01
Rank#350  Overall
#13  Wide column stores
Websitewww.ontotext.comwww.gridgain.comwww.microsoft.com/­en-us/­sql-servergithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgraphdb.ontotext.com/­documentationwww.gridgain.com/­docs/­latestdocs.microsoft.com/­en-US/­sql/­sql-server
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextGridGain Systems, Inc.MicrosoftAlex Kashirin
Initial release2000200719892020
Current release9.8, June 2021GridGain 8.5.1SQL Server 2019, November 20190.5, April 2021
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial inforestricted free version is availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++C++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyesschema-free
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.noyesyesno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLyesSQL-like query language
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol
Thrift
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.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.Security Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMGridGainMicrosoft SQL ServerSWC-DB infoSuper Wide Column Database
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» 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 open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
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More resources
GraphDB infoformer name: OWLIMGridGainMicrosoft SQL ServerSWC-DB infoSuper Wide Column Database
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