DBMS > Atos Standard Common Repository vs. Microsoft Azure AI Search vs. OpenTenBase vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure AI Search vs. OpenTenBase vs. Trafodion

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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	OpenTenBase  Xexclude from comparison	Trafodion  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Apache Trafodion has been retired in 2021. 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	An enterprise-level distributed HTAP open source database based on PostgreSQL	Transactional SQL-on-Hadoop DBMS
Primary database model	Document store Key-value store	Search engine	Relational DBMS	Relational DBMS
Secondary database models		Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.52 Rank #59   Overall #6   Search engines	Score 0.08 Rank #370   Overall #156   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­search	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	trafodion.apache.org
Technical documentation		learn.microsoft.com/­en-us/­azure/­search	docs.opentenbase.org docs.opentenbase.org/­en	trafodion.apache.org/­documentation.html
Developer	Atos Convergence Creators	Microsoft	OpenAtom Foundation, previously Tencent	Apache Software Foundation, originally developed by HP
Initial release	2016	2015		2014
Current release	1703	V1	2.5, January 2024	2.3.0, February 2019
License Commercial or Open Source	commercial	commercial	Open Source BSD-3	Open Source Apache 2.0
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
Server operating systems	Linux	hosted	Linux	Linux
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
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	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP	RESTful HTTP API		ADO.NET JDBC ODBC
Supported programming languages	All languages with LDAP bindings	C# Java JavaScript Python	C Go Java PHP Python	All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts Stored procedures	no	no		Java Stored Procedures
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Implicit feature of the cloud service	yes	yes, via HBase
MapReduce Offers an API for user-defined Map/Reduce methods		no		yes via user defined functions and HBase
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
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	no		no
User concepts Access control	LDAP bind authentication	yes using Azure authentication	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Microsoft Azure AI Search	OpenTenBase	Trafodion
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		Evaluating HTAP Databases for Machine Learning Applications 2 November 2016, KDnuggets HP Throws Trafodion Hat into OLTP Hadoop Ring 14 July 2014, Datanami Low-latency, distributed database architectures are critical for emerging fog applications 7 April 2022, Embedded Computing Design Apache Software Foundation Releases its 2019 Fiscal Year Report 17 August 2019, Open Source For You provided by Google News

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