DBMS > Atos Standard Common Repository vs. Cubrid vs. OpenTenBase vs. Postgres-XL

System Properties Comparison Atos Standard Common Repository vs. Cubrid vs. OpenTenBase vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cubrid  Xexclude from comparison	OpenTenBase  Xexclude from comparison	Postgres-XL  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	CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP	An enterprise-level distributed HTAP open source database based on PostgreSQL	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
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 1.04 Rank #187   Overall #87   Relational DBMS	Score 0.08 Rank #370   Overall #156   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cubrid.com (korean) cubrid.org (english)	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	www.postgres-xl.org
Technical documentation		cubrid.org/­manuals	docs.opentenbase.org docs.opentenbase.org/­en	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	CUBRID Corporation, CUBRID Foundation	OpenAtom Foundation, previously Tencent
Initial release	2016	2008		2014 since 2012, originally named StormDB
Current release	1703	11.0, January 2021	2.5, January 2024	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	Open Source BSD-3	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	Java	C, C++, Java		C
Server operating systems	Linux	Linux Windows	Linux	Linux macOS
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		yes XML type, but no XML query functionality
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes	yes distributed, parallel query execution
APIs and other access methods	LDAP	ADO.NET JDBC ODBC OLE DB		ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C C# C++ Go Java JavaScript (Node.js) Perl PHP Python Ruby	C Go Java PHP Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	Java Stored Procedures		user defined functions
Triggers	yes	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods		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	ACID MVCC
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
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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