DBMS > Atos Standard Common Repository vs. OrigoDB vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. OrigoDB vs. Postgres-XL vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OrigoDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Sadas Engine  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	A fully ACID in-memory object graph database	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Key-value store	Document store Object oriented 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 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	origodb.com	www.postgres-xl.org	www.sadasengine.com
Technical documentation		origodb.com/­docs	www.postgres-xl.org/­documentation	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	Robert Friberg et al		SADAS s.r.l.
Initial release	2016	2009 under the name LiveDB	2014 since 2012, originally named StormDB	2006
Current release	1703		10 R1, October 2018	8.0
License Commercial or Open Source	commercial	Open Source	Open Source Mozilla public license	commercial free trial version available
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	C++
Server operating systems	Linux	Linux Windows	Linux macOS	AIX Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	User defined using .NET types and collections	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 can be achieved using .NET	yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	yes
APIs and other access methods	LDAP	.NET Client API HTTP API LINQ	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	.Net	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	yes	user defined functions	no
Triggers	yes	yes Domain Events	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning client side managed; servers are not synchronized	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication		none
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
Foreign keys Referential integrity	no	depending on model	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes Write ahead log	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no	yes managed by 'Learn by Usage'
User concepts Access control	LDAP bind authentication	Role based authorization	fine grained access rights according to SQL-standard	Access rights for users, groups and roles according to SQL-standard
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