DBMS > Atos Standard Common Repository vs. Splunk vs. Teradata Aster vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. Splunk vs. Teradata Aster vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Splunk  Xexclude from comparison	Teradata Aster  Xexclude from comparison	VelocityDB  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	Analytics Platform for Big Data	Platform for big data analytics on multistructured data sources and types	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	Search engine	Relational DBMS	Graph DBMS Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 89.10 Rank #14   Overall #2   Search engines		Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.splunk.com		velocitydb.com
Technical documentation		docs.splunk.com/­Documentation/­Splunk		velocitydb.com/­UserGuide
Developer	Atos Convergence Creators	Splunk Inc.	Teradata	VelocityDB Inc
Initial release	2016	2003	2005	2011
Current release	1703			7.x
License Commercial or Open Source	commercial	commercial Limited free edition and free developer edition available	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 OS X Solaris Windows	Linux	Any that supports .NET
Data scheme	Schema and schema-less with LDAP views	yes	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	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	yes	yes in Aster File Store	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no Splunk Search Processing Language for search commands	yes	no
APIs and other access methods	LDAP	HTTP REST	ADO.NET JDBC ODBC OLE DB	.Net
Supported programming languages	All languages with LDAP bindings	C# Java JavaScript PHP Python Ruby	C C# C++ Java Python R	.Net
Server-side scripts Stored procedures	no	yes	R packages	no
Triggers	yes	yes	no	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication	yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce Offers an API for user-defined Map/Reduce methods		yes	yes SQL Map-Reduce Framework	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching	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	no	yes
User concepts Access control	LDAP bind authentication	Access rights for users and roles	fine grained access rights according to SQL-standard	Based on Windows Authentication
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More resources
	Atos Standard Common Repository	Splunk	Teradata Aster	VelocityDB
DB-Engines blog posts		Enterprise Search Engines almost double their popularity in the last 12 months 2 July 2014, Paul Andlinger show all
Recent citations in the 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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