DBMS > Atos Standard Common Repository vs. Infobright vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

System Properties Comparison Atos Standard Common Repository vs. Infobright vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Infobright  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	ignitetech.com/­softwarelibrary/­infobrightdb	azure.microsoft.com/­services/­synapse-analytics	www.sap.com/products/advantage-database-server.html
Technical documentation			docs.microsoft.com/­azure/­synapse-analytics
Developer	Atos Convergence Creators	Ignite Technologies Inc.; formerly InfoBright Inc.	Microsoft	Sybase, SAP
Initial release	2016	2005	2016	1993
Current release	1703
License Commercial or Open Source	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	commercial
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	C++
Server operating systems	Linux	Linux Windows	hosted	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	no	no
Secondary indexes	yes	no Knowledge Grid Technology used instead	yes	yes
SQL Support of SQL	no	yes	yes	yes
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	ADO.NET JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C# Java PHP	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	Transact SQL	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	yes	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
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	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	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
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	yes		no caching of (temporary) tables can be configured
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	yes	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Infobright	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft 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 Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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