DBMS > Atos Standard Common Repository vs. BigObject vs. chDB vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. chDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	chDB  Xexclude from comparison	Microsoft Azure AI Search  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	Analytic DBMS for real-time computations and queries	An embedded SQL OLAP Engine powered by ClickHouse	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Search engine
Secondary database models			Time Series DBMS	Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.07 Rank #376   Overall #158   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	github.com/­chdb-io/­chdb	azure.microsoft.com/­en-us/­services/­search
Technical documentation		docs.bigobject.io	doc.chdb.io	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	BigObject, Inc.		Microsoft
Initial release	2016	2015	2023	2015
Current release	1703			V1
License Commercial or Open Source	commercial	commercial free community edition available	Open Source Apache Version 2.0	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java
Server operating systems	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	server-less	hosted
Data scheme	Schema and schema-less with LDAP views	yes		yes
Typing predefined data types such as float or date	optional	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
SQL Support of SQL	no	SQL-like DML and DDL statements	Close to ANSI SQL (SQL/JSON + extensions)	no
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API		RESTful HTTP API
Supported programming languages	All languages with LDAP bindings		Bun C C++ Go JavaScript (Node.js) Python Rust	C# Java JavaScript Python
Server-side scripts Stored procedures	no	Lua		no
Triggers	yes	no		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none		Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes	none		yes Implicit feature of the cloud service
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	none		Immediate Consistency
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no		no
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)		yes
Durability Support for making data persistent	yes	yes		yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes		no
User concepts Access control	LDAP bind authentication	no		yes using Azure authentication
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More resources
	Atos Standard Common Repository	BigObject	chDB	Microsoft Azure AI Search
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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