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

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

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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	NSDb  Xexclude from comparison	OpenTenBase  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	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	An enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database model	Document store Key-value store	Search engine	Time Series 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 #369   Overall #40   Time Series DBMS	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	nsdb.io	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org
Technical documentation		learn.microsoft.com/­en-us/­azure/­search	nsdb.io/­Architecture	docs.opentenbase.org docs.opentenbase.org/­en
Developer	Atos Convergence Creators	Microsoft		OpenAtom Foundation, previously Tencent
Initial release	2016	2015	2017
Current release	1703	V1		2.5, January 2024
License Commercial or Open Source	commercial	commercial	Open Source Apache Version 2.0	Open Source BSD-3
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		Java, Scala
Server operating systems	Linux	hosted	Linux macOS	Linux
Data scheme	Schema and schema-less with LDAP views	yes		yes
Typing predefined data types such as float or date	optional	yes	yes: int, bigint, decimal, string	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 fields are automatically indexed	yes
SQL Support of SQL	no	no	SQL-like query language	yes
APIs and other access methods	LDAP	RESTful HTTP API	gRPC HTTP REST WebSocket
Supported programming languages	All languages with LDAP bindings	C# Java JavaScript Python	Java Scala	C Go Java PHP Python
Server-side scripts Stored procedures	no	no	no
Triggers	yes	no		yes
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
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	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	Using Apache Lucene	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no
User concepts Access control	LDAP bind authentication	yes using Azure authentication		Access rights for users, groups and roles according to SQL-standard
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More resources
	Atos Standard Common Repository	Microsoft Azure AI Search	NSDb	OpenTenBase
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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