DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Microsoft Azure Synapse Analytics vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Microsoft Azure Synapse Analytics vs. TimesTen

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Fujitsu Enterprise Postgres  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	TimesTen  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	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Relational DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.37 Rank #278   Overall #128   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.postgresql.fastware.com	azure.microsoft.com/­services/­synapse-analytics	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation		www.postgresql.fastware.com/­product-manuals	docs.microsoft.com/­azure/­synapse-analytics	docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	PostgreSQL Global Development Group, Fujitsu Australia Software Technology	Microsoft	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016		2016	1998
Current release	1703	Fujitsu Enterprise Postgres 14, January 2022		11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	commercial	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	AIX HP-UX Linux OS X Solaris SPARC/x86 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
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes	yes
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	ADO.NET JDBC ODBC	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	C# Java PHP	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	user defined functions	Transact SQL	PL/SQL
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	partitioning by range, list and by hash	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	yes	Multi-source replication 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 or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes	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, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	yes	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Fujitsu Enterprise Postgres	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	TimesTen
Recent citations in the news		Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... 26 February 2015, Fujitsu Expert Insight 202009 KAC 4 September 2023, Fujitsu Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ... 28 June 2023, Fujitsu Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain 22 May 2018, The Register DCPMM 1 August 2020, Fujitsu 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 Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 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 vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

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