DBMS > Atos Standard Common Repository vs. Sadas Engine vs. Valentina Server vs. Vitess

System Properties Comparison Atos Standard Common Repository vs. Sadas Engine vs. Valentina Server vs. Vitess

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Valentina Server  Xexclude from comparison	Vitess  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	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	Object-relational database and reports server	Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.21 Rank #325   Overall #144   Relational DBMS	Score 0.88 Rank #203   Overall #95   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.sadasengine.com	www.valentina-db.net	vitess.io
Technical documentation		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php	vitess.io/­docs
Developer	Atos Convergence Creators	SADAS s.r.l.	Paradigma Software	The Linux Foundation, PlanetScale
Initial release	2016	2006	1999	2013
Current release	1703	8.0	5.7.5	15.0.2, December 2022
License Commercial or Open Source	commercial	commercial free trial version available	commercial	Open Source Apache Version 2.0, commercial licenses available
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++		Go
Server operating systems	Linux	AIX Linux Windows	Linux OS X Windows	Docker Linux macOS
Data scheme	Schema and schema-less with LDAP views	yes	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
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes	yes with proprietary extensions
APIs and other access methods	LDAP	JDBC ODBC Proprietary protocol	ODBC	ADO.NET JDBC MySQL protocol ODBC
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ Groovy Java PHP Python	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET	Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl
Server-side scripts Stored procedures	no	no	yes	yes proprietary syntax
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning		Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none		Multi-source replication 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		Eventual Consistency across shards Immediate Consistency within a shard
Foreign keys Referential integrity	no	yes	yes	yes not for MyISAM storage engine
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations			ACID at shard level
Concurrency Support for concurrent manipulation of data	yes	yes		yes table locks or row locks depending on storage engine
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 managed by 'Learn by Usage'	yes	yes
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard	Users with fine-grained authorization concept no user groups or roles
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More resources
	Atos Standard Common Repository	Sadas Engine	Valentina Server	Vitess
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos 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	PlanetScale Unveils Distributed MySQL Database Service Based on Vitess 18 May 2021, Datanami PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes 18 May 2021, The Register They scaled YouTube -- now they’ll shard everyone with PlanetScale 13 December 2018, TechCrunch With Vitess 4.0, database vendor matures cloud-native platform 13 November 2019, TechTarget Massively Scaling MySQL Using Vitess 19 February 2019, InfoQ.com provided by Google News

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