DBMS > Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Yanza vs. YottaDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Yanza vs. YottaDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Yanza  Xexclude from comparison	YottaDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Search-as-a-service for web and mobile app development	Time Series DBMS for IoT Applications	A fast and solid embedded Key-value store
Primary database model	Document store Key-value store	Search engine	Time Series DBMS	Key-value store
Secondary database models		Vector DBMS		Relational DBMS using the Octo plugin
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.52 Rank #59   Overall #6   Search engines		Score 0.28 Rank #306   Overall #44   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­search	yanza.com	yottadb.com
Technical documentation		learn.microsoft.com/­en-us/­azure/­search		yottadb.com/­resources/­documentation
Developer	Atos Convergence Creators	Microsoft	Yanza	YottaDB, LLC
Initial release	2016	2015	2015	2001
Current release	1703	V1
License Commercial or Open Source	commercial	commercial	commercial free version available	Open Source AGPL 3.0
Cloud-based only Only available as a cloud service	no	yes	no but mainly used as a service provided by Yanza	no
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	hosted	Windows	Docker Linux
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	no	no
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	no
Secondary indexes	yes	yes	no	no
SQL Support of SQL	no	no	no	by using the Octo plugin
APIs and other access methods	LDAP	RESTful HTTP API	HTTP API	PostgreSQL wire protocol using the Octo plugin Proprietary protocol
Supported programming languages	All languages with LDAP bindings	C# Java JavaScript Python	any language that supports HTTP calls	C Go JavaScript (Node.js) Lua M Perl Python Rust
Server-side scripts Stored procedures	no	no	no
Triggers	yes	no	yes Timer and event based
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Implicit feature of the cloud service	none	yes
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	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	optimistic locking
Concurrency Support for concurrent manipulation of data	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		yes
User concepts Access control	LDAP bind authentication	yes using Azure authentication	no	Users and groups based on OS-security mechanisms
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More resources
	Atos Standard Common Repository	Microsoft Azure AI Search	Yanza	YottaDB
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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