DBMS > Atos Standard Common Repository vs. JaguarDB vs. Microsoft Azure SQL Database vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. JaguarDB vs. Microsoft Azure SQL Database 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	JaguarDB  Xexclude from comparison	Microsoft Azure SQL Database formerly SQL Azure  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	Performant, highly scalable DBMS for AI and IoT applications	Database as a Service offering with high compatibility to Microsoft SQL Server	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Key-value store	Key-value store Vector DBMS	Relational DBMS	Relational DBMS
Secondary database models			Document store Graph DBMS Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.06 Rank #381   Overall #59   Key-value stores #14   Vector DBMS	Score 76.78 Rank #16   Overall #11   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.jaguardb.com	azure.microsoft.com/­en-us/­products/­azure-sql/­database	www.sadasengine.com
Technical documentation		www.jaguardb.com/­support.html	docs.microsoft.com/­en-us/­azure/­azure-sql	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	DataJaguar, Inc.	Microsoft	SADAS s.r.l.
Initial release	2016	2015	2010	2006
Current release	1703	3.3 July 2023	V12	8.0
License Commercial or Open Source	commercial	Open Source GPL V3.0	commercial	commercial free trial version available
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++ the server part. Clients available in other languages	C++	C++
Server operating systems	Linux	Linux	hosted	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	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	yes	yes
APIs and other access methods	LDAP	JDBC ODBC	ADO.NET JDBC ODBC	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	.Net C# Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	no	Transact SQL	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding		horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication	yes, with always 3 replicas available	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	Eventual 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
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		yes managed by 'Learn by Usage'
User concepts Access control	LDAP bind authentication	rights management via user accounts	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	JaguarDB	Microsoft Azure SQL Database formerly SQL Azure	Sadas Engine
DB-Engines blog posts			PostgreSQL is the DBMS of the Year 2020 4 January 2021, Paul Andlinger, Matthias Gelbmann Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger The popularity of cloud-based DBMSs has increased tenfold in four years 7 February 2017, Matthias Gelbmann show all
Recent citations in the news			Copilot in Azure SQL Database in Private Preview 27 March 2024, InfoQ.com Microsoft unveils Copilot for Azure SQL Database 27 March 2024, InfoWorld Azure SQL Database migration to OCI - resources estimation and migration approach 11 January 2024, blogs.oracle.com Expand the limits of innovation with Azure data 21 March 2024, microsoft.com Why migrate Windows Server and SQL Server to Azure: ROI, innovation, and free offers 25 April 2024, microsoft.com provided by Google News

Share this page