DBMS > Atos Standard Common Repository vs. Citus vs. InfinityDB vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Citus vs. InfinityDB vs. Valentina Server

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Citus  Xexclude from comparison	InfinityDB  Xexclude from comparison	Valentina Server  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	Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL	A Java embedded Key-Value Store which extends the Java Map interface	Object-relational database and reports server
Primary database model	Document store Key-value store	Relational DBMS	Key-value store	Relational DBMS
Secondary database models		Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 2.15 Rank #117   Overall #56   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.citusdata.com	boilerbay.com	www.valentina-db.net
Technical documentation		docs.citusdata.com	boilerbay.com/­infinitydb/­manual	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	Atos Convergence Creators		Boiler Bay Inc.	Paradigma Software
Initial release	2016	2010	2002	1999
Current release	1703	8.1, December 2018	4.0	5.7.5
License Commercial or Open Source	commercial	Open Source AGPL, commercial license also 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	Java
Server operating systems	Linux	Linux	All OS with a Java VM	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes
Typing predefined data types such as float or date	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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 specific XML type available, but no XML query functionality	no
Secondary indexes	yes	yes	no manual creation possible, using inversions based on multi-value capability	yes
SQL Support of SQL	no	yes standard, with numerous extensions	no	yes
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	ODBC
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	Java	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	no	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	no	yes
Triggers	yes	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication other methods possible by using 3rd party extensions	none
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 READ-COMMITTED or SERIALIZED
Foreign keys Referential integrity	no	yes	no manual creation possible, using inversions based on multi-value capability	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads
Concurrency Support for concurrent manipulation of data	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	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Citus	InfinityDB	Valentina Server
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Ubicloud wants to build an open source alternative to AWS 5 March 2024, TechCrunch Ubicloud reels in $16M for its open-source cloud platform 5 March 2024, SiliconANGLE News Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL ... 24 January 2019, Microsoft Distributed PostgreSQL Benchmarks: Azure Cosmos DB, CockroachDB, and YugabyteDB 8 July 2023, InfoQ.com Microsoft Benchmarks Distributed PostgreSQL DBs 10 July 2023, Datanami provided by Google News		A Look at Valentina — SitePoint 18 April 2014, SitePoint MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source 7 December 2018, H2S Media provided by Google News

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