DBMS > Atos Standard Common Repository vs. Cachelot.io vs. EJDB vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Cachelot.io vs. EJDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cachelot.io  Xexclude from comparison	EJDB  Xexclude from comparison	Microsoft Azure AI Search  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	In-memory caching system	Embeddable document-store database library with JSON representation of queries (in MongoDB style)	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Key-value store	Document store	Search engine
Secondary database models				Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.04 Rank #388   Overall #62   Key-value stores	Score 0.31 Rank #296   Overall #44   Document stores	Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cachelot.io	github.com/­Softmotions/­ejdb	azure.microsoft.com/­en-us/­services/­search
Technical documentation			github.com/­Softmotions/­ejdb/­blob/­master/­README.md	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators		Softmotions	Microsoft
Initial release	2016	2015	2012	2015
Current release	1703			V1
License Commercial or Open Source	commercial	Open Source Simplified BSD License	Open Source GPLv2	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++	C
Server operating systems	Linux	FreeBSD Linux OS X	server-less	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	no	yes string, integer, double, bool, date, object_id	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	yes
SQL Support of SQL	no	no	no	no
APIs and other access methods	LDAP	Memcached protocol	in-process shared library	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	C# Java JavaScript Python
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	none	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	none		Immediate Consistency
Foreign keys Referential integrity	no	no	no typically not needed, however similar functionality with collection joins possible	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes Read/Write Locking	yes
Durability Support for making data persistent	yes	no	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	no	no	yes using Azure authentication
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More resources
	Atos Standard Common Repository	Cachelot.io	EJDB	Microsoft Azure AI Search
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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