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DBMS > GraphDB vs. H2 vs. Microsoft Azure SQL Database

System Properties Comparison GraphDB vs. H2 vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.44
Rank#109  Overall
#6  Graph DBMS
#4  RDF stores
Score9.31
Rank#49  Overall
#30  Relational DBMS
Score75.22
Rank#15  Overall
#10  Relational DBMS
Websitewww.ontotext.comwww.h2database.comazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationgraphdb.ontotext.com/­documentationwww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperOntotextThomas MuellerMicrosoft
Initial release200020052010
Current release9.8, June 20211.4.200, October 2019V12
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
All OS with a Java VMhosted
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
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.nonoyes
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/ODBCyesyes
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityJava Stored Procedures and User-Defined FunctionsTransact SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yes
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.fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMH2Microsoft Azure SQL Database infoformerly SQL Azure
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraphDB infoformer name: OWLIMH2Microsoft Azure SQL Database infoformerly SQL Azure
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Conferences and events

Analyzing unstructured data with GraphDB 9.8
Webinar, 8am PDT / 11am EDT / 5pm CEST, 24 June 2021 (finished)

Recent citations in the news

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

eccenca and Ontotext Partner to Advance Enterprise Data Management
3 February 2021, PRNewswire

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

provided by Google News

Track and Record Data Changes with Change Data Capture (CDC) in Azure SQL - Microsoft
1 July 2021, Channel 9

Scale Out Your Databases with Azure SQL Hyperscale Named Replicas - Microsoft
22 July 2021, Channel 9

So You Need To Move Off SQL Server 2016
20 July 2021, Redmondmag.com

From On-Premises to Cloud: Migrating to Azure SQL (Episode 7) | DevOps Lab
27 June 2021, Illinoisnewstoday.com

Creating Your First Azure SQL Database | Data Exposed - Microsoft
27 October 2020, Channel 9

provided by Google News

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