DBMS > Atos Standard Common Repository vs. gStore vs. IBM Db2 warehouse vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. gStore vs. IBM Db2 warehouse vs. Yaacomo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	gStore  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  Xexclude from comparison	Yaacomo  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A native Graph DBMS to store and maintain very large RDF datasets.	Cloud-based data warehousing service	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Key-value store	Graph DBMS RDF store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.14 Rank #342   Overall #34   Graph DBMS #16   RDF stores	Score 1.37 Rank #160   Overall #74   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	en.gstore.cn	www.ibm.com/­products/­db2/­warehouse	yaacomo.com
Technical documentation		en.gstore.cn/­#/­enDocs
Developer	Atos Convergence Creators		IBM	Q2WEB GmbH
Initial release	2016	2016	2014	2009
Current release	1703	1.2, November 2023
License Commercial or Open Source	commercial	Open Source BSD	commercial	commercial
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	C++
Server operating systems	Linux	Linux	hosted	Android Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free and OWL/RDFS-schema support	yes	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
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP	HTTP API SPARQL 1.1	.NET Client API JDBC ODBC OLE DB	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	C++ Java JavaScript (Node.js) PHP Python	Java JavaScript (Node.js) Perl PHP Python R Ruby
Server-side scripts Stored procedures	no	yes	PL/SQL, SQL PL
Triggers	yes		yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes	Source-replica replication
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	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	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	no	yes	yes
User concepts Access control	LDAP bind authentication	Users, roles and permissions, Role-Based Access Control (RBAC) supported	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	gStore	IBM Db2 warehouse formerly named IBM dashDB	Yaacomo
Recent citations in the news			Announcing the deprecation of prior generation Db2 Warehouse plans on AWS 16 October 2023, ibm.com Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ... 11 July 2023, ibm.com Data Mining in Db2 Warehouse: the basics 23 June 2020, Towards Data Science Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x 11 July 2023, ibm.com Top 7 Cloud Data Warehouse Companies 31 May 2023, Datamation provided by Google News

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