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DBMS > GraphDB vs. Microsoft Azure SQL Database vs. mSQL vs. Yaacomo

System Properties Comparison GraphDB vs. Microsoft Azure SQL Database vs. mSQL vs. Yaacomo

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportDatabase as a Service offering with high compatibility to Microsoft SQL ServermSQL (Mini SQL) is a simple and lightweight RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score28.20
Rank#25  Overall
#14  Relational DBMS
Score1.48
Rank#128  Overall
#64  Relational DBMS
Score0.00
Rank#334  Overall
#137  Relational DBMS
Websitegraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­sql-databasewww.hughes.com.au/­products/­msqlyaacomo.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­sql-database
DeveloperOntotextMicrosoftHughes TechnologiesQ2WEB GmbH
Initial release2000201019942009
Current release8.8, January 2019V124.2, April 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.yesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
Linux
Windows
Data schemeschema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresJava Server PluginTransact SQLno
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationyes, with always 3 replicas availablenoneMaster-slave replication
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 ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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 controlyesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzuremSQL infoMini SQLYaacomo
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...
» more
News

A Graphful of Investment Opportunities
10 January 2020

Ontotext’s Most Popular Blog Posts for 2019
30 December 2019

A New Hope: The Rise of the Knowledge Graph
6 December 2019

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzuremSQL infoMini SQLYaacomo
DB-Engines blog posts

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12 December 2019, Paul Andlinger

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2 October 2015, Paul Andlinger

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Conferences and events

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019 (finished)

Recent citations in the news

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

GraphDB Improves the Knowledge Graph Experience in Latest Update
12 January 2020, Database Trends and Applications

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

provided by Google News

Deployment options for Azure SQL Database | Data Exposed - Microsoft
9 January 2020, Channel 9

Overview of Azure SQL Database Serverless
30 December 2019, Database Journal

It's just SQL: Collations in Azure SQL Database Managed Instance - Microsoft
2 January 2020, Channel 9

Understanding Azure Arc
14 January 2020, InfoWorld

Overview of Azure SQL Database Networking
25 November 2019, Database Journal

provided by Google News

A Memorial to the Grandfather of Headphone Enthusiasm
15 March 2016, InnerFidelity

TransWare Offers New Translation Tools and Services for ARIS® 7.x, 9.x Full translation to Microsoft Visio® 2010, 2013 and 2016 and Many Other Modeling Tools
12 October 2015, PR Web

Writing a Web Service in Perl
13 July 2018, PCQuest

provided by Google News

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