DBMS > Atos Standard Common Repository vs. DataFS vs. Drizzle vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. Drizzle vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DataFS  Xexclude from comparison	Drizzle  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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.	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Object oriented DBMS	Relational DBMS	Search engine
Secondary database models		Graph DBMS		Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.09 Rank #360   Overall #17   Object oriented DBMS		Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	newdatabase.com		azure.microsoft.com/­en-us/­services/­search
Technical documentation		dev.mobiland.com/­Overview.xsp		learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Mobiland AG	Drizzle project, originally started by Brian Aker	Microsoft
Initial release	2016	2018	2008	2015
Current release	1703	1.1.263, October 2022	7.2.4, September 2012	V1
License Commercial or Open Source	commercial	commercial	Open Source GNU GPL	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
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	Windows	FreeBSD Linux OS X	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)	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		no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	yes with proprietary extensions	no
APIs and other access methods	LDAP	.NET Client API Proprietary client DLL WinRT client	JDBC	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ VB.Net	C C++ Java PHP	C# Java JavaScript Python
Server-side scripts Stored procedures	no		no	no
Triggers	yes	no, except callback-events from server when changes happened	no hooks for callbacks inside the server can be used.	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Proprietary Sharding system	Sharding	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes		Multi-source replication Source-replica replication	yes Implicit feature of the cloud service
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
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	no
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
User concepts Access control	LDAP bind authentication	Windows-Profile	Pluggable authentication mechanisms e.g. LDAP, HTTP	yes using Azure authentication
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More resources
	Atos Standard Common Repository	DataFS	Drizzle	Microsoft Azure AI Search
DB-Engines blog posts			MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
Recent citations in the news				Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Microsoft and ServiceNow at Knowledge 2024: Introducing generative AI innovation 13 June 2024, Microsoft Azure OpenAI Service: Transforming legal practices with generative AI solutions 12 June 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Raise the bar on AI-powered app development with Azure Database for PostgreSQL 5 June 2024, Microsoft provided by Google News

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