DBMS > Atos Standard Common Repository vs. IBM Db2 warehouse vs. Stardog vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 warehouse vs. Stardog vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  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	Cloud-based data warehousing service	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 1.37 Rank #160   Overall #74   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	www.ibm.com/­products/­db2/­warehouse	www.stardog.com	velocitydb.com
Technical documentation			docs.stardog.com	velocitydb.com/­UserGuide
Developer	Atos Convergence Creators	IBM	Stardog-Union	VelocityDB Inc
Initial release	2016	2014	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		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 Import/export of XML data possible	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	.NET Client API JDBC ODBC OLE DB	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	Java JavaScript (Node.js) Perl PHP Python R Ruby	.Net Clojure Groovy Java JavaScript Python Ruby	.Net
Server-side scripts Stored procedures	no	PL/SQL, SQL PL	user defined functions and aggregates, HTTP Server extensions in Java	no
Triggers	yes	yes	yes via event handlers	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	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	yes	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	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Access rights for users and roles	Based on Windows Authentication
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More resources
	Atos Standard Common Repository	IBM Db2 warehouse formerly named IBM dashDB	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	Announcing the deprecation of prior generation Db2 Warehouse plans on AWS 16 October 2023, IBM Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ... 11 July 2023, IBM Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x 11 July 2023, IBM Data mining in Db2 Warehouse: the basics 23 June 2020, Towards Data Science Top 7 Cloud Data Warehouse Companies 31 May 2023, Datamation provided by Google News

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