DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Microsoft Azure Search

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Microsoft Azure Search

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Elasticsearch  Xexclude from comparison	Microsoft Azure 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	A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Search engine	Search engine
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 156.00 Rank #8   Overall #1   Search engines	Score 7.61 Rank #58   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.elastic.co/­elasticsearch	azure.microsoft.com/­en-us/­services/­search
Technical documentation		www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	docs.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Elastic	Microsoft
Initial release	2016	2010	2015
Current release	1703	7.8.0, June 2020	V1
License Commercial or Open Source	commercial	Open Source Elastic License	commercial
Cloud-based only Only available as a cloud service	no	no	yes
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Implementation language	Java	Java
Server operating systems	Linux	All OS with a Java VM	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free Flexible type definitions. Once a type is defined, it is persistent	yes
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	yes All search fields are automatically indexed	yes
SQL Support of SQL	no	SQL-like query language	no
APIs and other access methods	LDAP	Java API RESTful HTTP/JSON API	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	.Net C#
Server-side scripts Stored procedures	no	yes	no
Triggers	yes	yes by using the 'percolation' feature	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	yes Implicit feature of the cloud service
MapReduce Offers an API for user-defined Map/Reduce methods		ES-Hadoop Connector	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all	Immediate Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no
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	Memcached and Redis integration	no
User concepts Access control	LDAP bind authentication		yes using Azure authentication
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	Atos Standard Common Repository	Elasticsearch	Microsoft Azure Search
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