DBMS > Atos Standard Common Repository vs. SWC-DB vs. Teradata Aster vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. SWC-DB vs. Teradata Aster vs. TimesTen

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	SWC-DB Super Wide Column Database  Xexclude from comparison	Teradata Aster  Xexclude from comparison	TimesTen  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Teradata Aster has been integrated into other Teradata systems and therefore 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	A high performance, scalable Wide Column DBMS	Platform for big data analytics on multistructured data sources and types	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Wide column store	Relational DBMS	Relational DBMS
Secondary database models		Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #364   Overall #13   Wide column stores		Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­kashirin-alex/­swc-db www.swcdb.org		www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation				docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	Alex Kashirin	Teradata	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016	2020	2005	1998
Current release	1703	0.5, April 2021		11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	Open Source GPL V3	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	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	Linux	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store	yes
Typing predefined data types such as float or date	optional		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	yes in Aster File Store	no
Secondary indexes	yes		yes	yes
SQL Support of SQL	no	SQL-like query language	yes	yes
APIs and other access methods	LDAP	Proprietary protocol Thrift	ADO.NET JDBC ODBC OLE DB	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	C++	C C# C++ Java Python R	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	no	R packages	PL/SQL
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes SQL Map-Reduce Framework	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no		no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations		ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes
User concepts Access control	LDAP bind authentication		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	SWC-DB Super Wide Column Database	Teradata Aster	TimesTen
Recent citations in the news		2022 All O-Zone Football Team 17 December 2022, Ozarks Sports Zone provided by Google News	Teradata Enhances Big Data Analytics Platform 31 May 2024, Data Center Knowledge Northwestern Analytics Partners with Teradata Aster to Host Hackathon 23 May 2014, Northwestern Engineering Teradata Provides the Simplest Way to Bring the Science of Data to the Art of Business 22 September 2011, PR Newswire Teradata's Aster shows how the flowers of fraud bloom 23 April 2015, The Register Teradata unveils improved QueryGrid connectors 21 April 2015, CIO provided by Google News

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