DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Postgres-XL vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Postgres-XL vs. Yaacomo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Fujitsu Enterprise Postgres  Xexclude from comparison	Postgres-XL  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-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	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
Secondary database models		Document store Spatial DBMS	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 0.53 Rank #254   Overall #117   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.postgresql.fastware.com	www.postgres-xl.org	yaacomo.com
Technical documentation		www.postgresql.fastware.com/­product-manuals	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	PostgreSQL Global Development Group, Fujitsu Australia Software Technology		Q2WEB GmbH
Initial release	2016		2014 since 2012, originally named StormDB	2009
Current release	1703	Fujitsu Enterprise Postgres 14, January 2022	10 R1, October 2018
License Commercial or Open Source	commercial	commercial	Open Source Mozilla public license	commercial
Cloud-based only Only available as a cloud service	no	no	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	Linux Windows	Linux macOS	Android 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		yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes distributed, parallel query execution	yes
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	user defined functions	user defined functions
Triggers	yes	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	partitioning by range, list and by hash	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica 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
Foreign keys Referential integrity	no	yes	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID MVCC	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
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Fujitsu Enterprise Postgres	Postgres-XL	Yaacomo
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