DBMS > Atos Standard Common Repository vs. GeoMesa vs. Microsoft Azure AI Search vs. STSdb

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. Microsoft Azure AI Search vs. STSdb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	GeoMesa  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	STSdb  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	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.	Search-as-a-service for web and mobile app development	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Document store Key-value store	Spatial DBMS	Search engine	Key-value store
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.86 Rank #205   Overall #4   Spatial DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.10 Rank #357   Overall #51   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.geomesa.org	azure.microsoft.com/­en-us/­services/­search	github.com/­STSSoft/­STSdb4
Technical documentation		www.geomesa.org/­documentation/­stable/­user/­index.html	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	CCRi and others	Microsoft	STS Soft SC
Initial release	2016	2014	2015	2011
Current release	1703	5.0.0, May 2024	V1	4.0.8, September 2015
License Commercial or Open Source	commercial	Open Source Apache License 2.0	commercial	Open Source GPLv2, commercial license available
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Scala		C#
Server operating systems	Linux		hosted	Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	yes primitive types and user defined types (classes)
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	yes	no
SQL Support of SQL	no	no	no	no
APIs and other access methods	LDAP		RESTful HTTP API	.NET Client API
Supported programming languages	All languages with LDAP bindings		C# Java JavaScript Python	C# Java
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	depending on storage layer	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	depending on storage layer	yes Implicit feature of the cloud service	none
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	depending on storage layer	Immediate Consistency
Foreign keys Referential integrity	no	no	no	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	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	depending on storage layer	no
User concepts Access control	LDAP bind authentication	yes depending on the DBMS used for storage	yes using Azure authentication	no
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More resources
	Atos Standard Common Repository	GeoMesa	Microsoft Azure AI Search	STSdb
DB-Engines blog posts		Spatial database management systems 6 April 2021, 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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