DBMS > Atos Standard Common Repository vs. H2GIS vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. H2GIS vs. Microsoft Azure Synapse Analytics vs. RDF4J

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	H2GIS  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	RDF4J formerly known as Sesame  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Spatial extension of H2	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database model	Document store Key-value store	Spatial DBMS	Relational DBMS	RDF store
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #368   Overall #7   Spatial DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.74 Rank #222   Overall #9   RDF stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.h2gis.org	azure.microsoft.com/­services/­synapse-analytics	rdf4j.org
Technical documentation		www.h2gis.org/­docs/­home	docs.microsoft.com/­azure/­synapse-analytics	rdf4j.org/­documentation
Developer	Atos Convergence Creators	CNRS	Microsoft	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release	2016	2013	2016	2004
Current release	1703
License Commercial or Open Source	commercial	Open Source LGPL 3.0	commercial	Open Source Eclipse Distribution License (EDL), v1.0.
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C++	Java
Server operating systems	Linux		hosted	Linux OS X Unix Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes RDF Schemas
Typing predefined data types such as float or date	optional	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes	no
APIs and other access methods	LDAP		ADO.NET JDBC ODBC	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL
Supported programming languages	All languages with LDAP bindings	Java	C# Java PHP	Java PHP Python
Server-side scripts Stored procedures	no	yes based on H2	Transact SQL	yes
Triggers	yes	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes based on H2	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	ACID Isolation support depends on the API used
Concurrency Support for concurrent manipulation of data	yes	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes in-memory storage is supported as well
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes
User concepts Access control	LDAP bind authentication	yes based on H2	yes	no
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More resources
	Atos Standard Common Repository	H2GIS	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	RDF4J formerly known as Sesame
Recent citations in the news			General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News	GraphDB Goes Open Source 27 January 2020, iProgrammer Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer 13 June 2019, Markets Insider provided by Google News

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