DBMS > Atos Standard Common Repository vs. EsgynDB vs. Microsoft Azure Synapse Analytics vs. Sadas Engine vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. Microsoft Azure Synapse Analytics vs. Sadas Engine vs. Yaacomo

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Yaacomo  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.				Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	azure.microsoft.com/­services/­synapse-analytics	www.sadasengine.com	yaacomo.com
Technical documentation			docs.microsoft.com/­azure/­synapse-analytics	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	Esgyn	Microsoft	SADAS s.r.l.	Q2WEB GmbH
Initial release	2016	2015	2016	2006	2009
Current release	1703			8.0
License Commercial or Open Source	commercial	commercial	commercial	commercial free trial version available	commercial
Cloud-based only Only available as a cloud service	no	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	C++	C++
Server operating systems	Linux	Linux	hosted	AIX Linux Windows	Android Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	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	no	no
Secondary indexes	yes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes	yes	yes
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	ADO.NET JDBC ODBC	JDBC ODBC Proprietary protocol	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net	C# Java PHP	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	Java Stored Procedures	Transact SQL	no
Triggers	yes	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding, horizontal partitioning	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication between multi datacenters	yes	none	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		yes	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	Immediate Consistency
Foreign keys Referential integrity	no	yes	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID		ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	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'	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	yes	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	EsgynDB	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Sadas Engine	Yaacomo
Recent citations in the news			General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, azure.microsoft.com Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, azure.microsoft.com Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

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