DBMS > Atos Standard Common Repository vs. DataFS vs. Percona Server for MongoDB vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. Percona Server for MongoDB vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DataFS  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	VelocityDB  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	All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	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	Object oriented DBMS	Document store	Graph DBMS Object oriented DBMS
Secondary database models		Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.09 Rank #360   Overall #17   Object oriented DBMS	Score 0.60 Rank #246   Overall #39   Document stores	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	newdatabase.com	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	velocitydb.com
Technical documentation		dev.mobiland.com/­Overview.xsp	docs.percona.com/­percona-distribution-for-mongodb	velocitydb.com/­UserGuide
Developer	Atos Convergence Creators	Mobiland AG	Percona	VelocityDB Inc
Initial release	2016	2018	2015	2011
Current release	1703	1.1.263, October 2022	3.4.10-2.10, November 2017	7.x
License Commercial or Open Source	commercial	commercial	Open Source GPL Version 2	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++	C#
Server operating systems	Linux	Windows	Linux	Any that supports .NET
Data scheme	Schema and schema-less with LDAP views	Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)	schema-free	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	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	no	no
APIs and other access methods	LDAP	.NET Client API Proprietary client DLL WinRT client	proprietary protocol using JSON	.Net
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ VB.Net	Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk	.Net
Server-side scripts Stored procedures	no		JavaScript	no
Triggers	yes	no, except callback-events from server when changes happened	no	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Proprietary Sharding system	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes		Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	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 via In-Memory Engine	yes
User concepts Access control	LDAP bind authentication	Windows-Profile	Access rights for users and roles	Based on Windows Authentication
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More resources
	Atos Standard Common Repository	DataFS	Percona Server for MongoDB	VelocityDB
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