DBMS > Atos Standard Common Repository vs. DataFS vs. Microsoft Azure Table Storage

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DataFS  Xexclude from comparison	Microsoft Azure Table Storage  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 Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Document store Key-value store	Object oriented DBMS	Wide column store
Secondary database models		Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.09 Rank #360   Overall #18   Object oriented DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	newdatabase.com	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation		dev.mobiland.com/­Overview.xsp
Developer	Atos Convergence Creators	Mobiland AG	Microsoft
Initial release	2016	2018	2012
Current release	1703	1.1.263, October 2022
License Commercial or Open Source	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java
Server operating systems	Linux	Windows	hosted
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
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	no
Secondary indexes	yes	no	no
SQL Support of SQL	no	no	no
APIs and other access methods	LDAP	.NET Client API Proprietary client DLL WinRT client	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ VB.Net	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	no		no
Triggers	yes	no, except callback-events from server when changes happened	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Proprietary Sharding system	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce Offers an API for user-defined Map/Reduce methods		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	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
User concepts Access control	LDAP bind authentication	Windows-Profile	Access rights based on private key authentication or shared access signatures
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More resources
	Atos Standard Common Repository	DataFS	Microsoft Azure Table Storage
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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