DBMS > Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. Stardog vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. Stardog vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Stardog  Xexclude from comparison	VelocityDB  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	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Document store Key-value store	Relational DBMS	Graph DBMS RDF store	Graph DBMS Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­synapse-analytics	www.stardog.com	velocitydb.com
Technical documentation		docs.microsoft.com/­azure/­synapse-analytics	docs.stardog.com	velocitydb.com/­UserGuide
Developer	Atos Convergence Creators	Microsoft	Stardog-Union	VelocityDB Inc
Initial release	2016	2016	2010	2011
Current release	1703		7.3.0, May 2020	7.x
License Commercial or Open Source	commercial	commercial	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++	Java	C#
Server operating systems	Linux	hosted	Linux macOS Windows	Any that supports .NET
Data scheme	Schema and schema-less with LDAP views	yes	schema-free and OWL/RDFS-schema support	yes
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 Import/export of XML data possible	no
Secondary indexes	yes	yes	yes supports real-time indexing in full-text and geospatial	yes
SQL Support of SQL	no	yes	Yes, compatible with all major SQL variants through dedicated BI/SQL Server	no
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	GraphQL query language HTTP API Jena RDF API OWL RDF4J API Sesame REST HTTP Protocol SNARL SPARQL Spring Data Stardog Studio TinkerPop 3	.Net
Supported programming languages	All languages with LDAP bindings	C# Java PHP	.Net Clojure Groovy Java JavaScript Python Ruby	.Net
Server-side scripts Stored procedures	no	Transact SQL	user defined functions and aggregates, HTTP Server extensions in Java	no
Triggers	yes	no	yes via event handlers	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding, horizontal partitioning	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Multi-source replication in HA-Cluster
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 in HA-Cluster	Immediate Consistency
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes relationships in graphs	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		yes	yes
User concepts Access control	LDAP bind authentication	yes	Access rights for users and roles	Based on Windows Authentication
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More resources
	Atos Standard Common Repository	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Stardog	VelocityDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google 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

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