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

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure AI Search vs. OpenMLDB 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	OpenMLDB  Xexclude from comparison	YottaDB  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	Search-as-a-service for web and mobile app development	An open-source machine learning database that provides a feature platform for training and inference	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	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 0.10 Rank #359   Overall #36   Time Series DBMS	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	openmldb.ai	yottadb.com
Technical documentation		learn.microsoft.com/­en-us/­azure/­search	openmldb.ai/­docs/­zh/­main	yottadb.com/­resources/­documentation
Developer	Atos Convergence Creators	Microsoft	4 Paradigm Inc.	YottaDB, LLC
Initial release	2016	2015	2020	2001
Current release	1703	V1	2024-2 February 2024
License Commercial or Open Source	commercial	commercial	Open Source	Open Source AGPL 3.0
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		C++, Java, Scala	C
Server operating systems	Linux	hosted	Linux	Docker Linux
Data scheme	Schema and schema-less with LDAP views	yes	Fixed schema	schema-free
Typing predefined data types such as float or date	optional	yes	yes	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	yes	no
SQL Support of SQL	no	no	yes	by using the Octo plugin
APIs and other access methods	LDAP	RESTful HTTP API	JDBC SQLAlchemy	PostgreSQL wire protocol using the Octo plugin Proprietary protocol
Supported programming languages	All languages with LDAP bindings	C# Java JavaScript Python	C++ Go Java Python Scala	C Go JavaScript (Node.js) Lua M Perl Python Rust
Server-side scripts Stored procedures	no	no	no
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Implicit feature of the cloud service	Source-replica replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods		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	yes
User concepts Access control	LDAP bind authentication	yes using Azure authentication	fine grained access rights according to SQL-standard	Users and groups based on OS-security mechanisms
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More resources
	Atos Standard Common Repository	Microsoft Azure AI Search	OpenMLDB	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	MLOp practice: using OpenMLDB in the real-time anti-fraud model for the bank's online transaction 23 August 2021, Towards Data Science Predictive maintenance — 5minutes demo of an end to end machine learning project 13 August 2021, Towards Data Science Compared to Native Spark 3.0, We Have Achieved Significant Optimization Effects in the AI 3 August 2021, Towards Data Science provided by Google News

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