DBMS > Atos Standard Common Repository vs. DataFS vs. Kyligence Enterprise vs. PostGIS

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. Kyligence Enterprise vs. PostGIS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DataFS  Xexclude from comparison	Kyligence Enterprise  Xexclude from comparison	PostGIS  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	All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.	A distributed analytics engine for big data, built on top of Apache Kylin	Spatial extension of PostgreSQL
Primary database model	Document store Key-value store	Object oriented DBMS	Relational DBMS	Spatial DBMS
Secondary database models		Graph DBMS		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.09 Rank #360   Overall #17   Object oriented DBMS	Score 0.46 Rank #266   Overall #124   Relational DBMS	Score 21.72 Rank #29   Overall #1   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	newdatabase.com	kyligence.io/­kyligence-enterprise	postgis.net
Technical documentation		dev.mobiland.com/­Overview.xsp		postgis.net/­documentation
Developer	Atos Convergence Creators	Mobiland AG	Kyligence, Inc.
Initial release	2016	2018	2016	2005
Current release	1703	1.1.263, October 2022		3.4.2, February 2024
License Commercial or Open Source	commercial	commercial	commercial	Open Source GPL v2.0
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		Java	C
Server operating systems	Linux	Windows	Linux
Data scheme	Schema and schema-less with LDAP views	Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)	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	yes
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	ANSI SQL for queries (using Apache Calcite)	yes
APIs and other access methods	LDAP	.NET Client API Proprietary client DLL WinRT client	JDBC ODBC RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ VB.Net
Server-side scripts Stored procedures	no			user defined functions
Triggers	yes	no, except callback-events from server when changes happened		yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Proprietary Sharding system		yes based on PostgreSQL
Replication methods Methods for redundantly storing data on multiple nodes	yes			yes based on PostgreSQL
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	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
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	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	no	no	no
User concepts Access control	LDAP bind authentication	Windows-Profile		yes based on PostgreSQL
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More resources
	Atos Standard Common Repository	DataFS	Kyligence Enterprise	PostGIS
DB-Engines blog posts				Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		Kyligence Grows OLAP Business in the Cloud 20 February 2020, Datanami Kyligence adds ClickHouse OLAP engine to its analytics platform 10 August 2021, VentureBeat Distributed OLAPer Kyligence accelerates core engine, adds real-time data support – Blocks and Files 10 August 2021, Blocks and Files How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services 9 November 2022, AWS Blog Why Analytics Warehouse Is the Answer to Big Data Analytics 21 September 2021, Spiceworks News and Insights provided by Google News

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