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DBMS > GraphDB vs. Microsoft Azure Table Storage vs. Splice Machine

System Properties Comparison GraphDB vs. Microsoft Azure Table Storage vs. Splice Machine

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Table Storage  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.A Wide Column Store for rapid development using massive semi-structured datasetsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.57
Rank#95  Overall
#7  Graph DBMS
#3  RDF stores
Score2.63
Rank#94  Overall
#7  Wide column stores
Score0.54
Rank#242  Overall
#114  Relational DBMS
Websitewww.ontotext.comazure.microsoft.com/­en-us/­services/­storage/­tablessplicemachine.com
Technical documentationgraphdb.ontotext.com/­documentationsplicemachine.com/­how-it-works
DeveloperOntotextMicrosoftSplice Machine
Initial release200020122014
Current release10.4, October 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeyes
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.nono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes
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 APIJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
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 extensibilitynoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, 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)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.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 based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standard

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More resources
GraphDB infoformer name: OWLIMMicrosoft Azure Table StorageSplice Machine
Recent citations in the news

Semantic Web Company and Ontotext merge to form Graphwise
23 October 2024, Blocks and Files

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
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17 April 2025, GlobeNewswire

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