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DBMS > GigaSpaces vs. GraphDB vs. Microsoft Azure SQL Database vs. ObjectBox vs. Stardog

System Properties Comparison GigaSpaces vs. GraphDB vs. Microsoft Azure SQL Database vs. ObjectBox vs. Stardog

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEnterprise-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 with high compatibility to Microsoft SQL ServerExtremely fast embedded database for small devices, IoT and MobileEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Relational DBMSObject oriented DBMSGraph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gigaspaces.comwww.ontotext.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseobjectbox.iowww.stardog.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iodocs.stardog.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperGigaspaces TechnologiesOntotextMicrosoftObjectBox LimitedStardog-Union
Initial release20002000201020172010
Current release15.5, September 202010.4, October 2023V127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache License 2.0commercial 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 servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC++C and C++Java
Server operating systemsLinux
macOS
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infoXML can be used for describing objects metadatanoyesnono infoImport/export of XML data possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-99 for query and DML statementsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
Proprietary native APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQLnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, event driven architecturenoyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes, with always 3 replicas availableonline/offline synchronization between client and serverMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access 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.fine grained access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
GigaSpacesGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxStardog
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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More resources
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