DBMS > Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Postgres-XL vs. Sadas Engine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Sadas Engine  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	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Key-value store	Search engine	Relational DBMS	Relational DBMS
Secondary database models		Vector DBMS	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.52 Rank #59   Overall #6   Search engines	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­search	www.postgres-xl.org	www.sadasengine.com
Technical documentation		learn.microsoft.com/­en-us/­azure/­search	www.postgres-xl.org/­documentation	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	Microsoft		SADAS s.r.l.
Initial release	2016	2015	2014 since 2012, originally named StormDB	2006
Current release	1703	V1	10 R1, October 2018	8.0
License Commercial or Open Source	commercial	commercial	Open Source Mozilla public license	commercial free trial version available
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	C++
Server operating systems	Linux	hosted	Linux macOS	AIX Linux Windows
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	yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	yes
APIs and other access methods	LDAP	RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	C# Java JavaScript Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	no	user defined functions	no
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	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Implicit feature of the cloud service		none
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	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 MVCC
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	yes managed by 'Learn by Usage'
User concepts Access control	LDAP bind authentication	yes using Azure authentication	fine grained access rights according to SQL-standard	Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Microsoft Azure AI Search	Postgres-XL	Sadas Engine
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

Share this page