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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OpenTenBase  Xexclude from comparison	Postgres-XL  Xexclude from comparison	RethinkDB  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	An enterprise-level distributed HTAP open source database based on PostgreSQL	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Document store
Secondary database models			Document store Spatial DBMS	Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #370   Overall #156   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 2.66 Rank #107   Overall #20   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	www.postgres-xl.org	rethinkdb.com
Technical documentation		docs.opentenbase.org docs.opentenbase.org/­en	www.postgres-xl.org/­documentation	rethinkdb.com/­docs
Developer	Atos Convergence Creators	OpenAtom Foundation, previously Tencent		The Linux Foundation since July 2017
Initial release	2016		2014 since 2012, originally named StormDB	2009
Current release	1703	2.5, January 2024	10 R1, October 2018	2.4.1, August 2020
License Commercial or Open Source	commercial	Open Source BSD-3	Open Source Mozilla public license	Open Source Apache Version 2
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	Linux macOS	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	yes string, binary, float, bool, date, geometry
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	no
APIs and other access methods	LDAP		ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C Go Java PHP Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C community-supported driver C# community-supported driver C++ community-supported driver Clojure community-supported driver Dart community-supported driver Erlang community-supported driver Go community-supported driver Haskell community-supported driver Java official driver JavaScript (Node.js) official driver Lisp community-supported driver Lua community-supported driver Objective-C community-supported driver Perl community-supported driver PHP community-supported driver Python official driver Ruby official driver Scala community-supported driver
Server-side scripts Stored procedures	no		user defined functions
Triggers	yes	yes	yes	Client-side triggers through changefeeds
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	horizontal partitioning	Sharding range based
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes		Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods			no	yes
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	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID MVCC	Atomic single-document operations
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes MVCC based
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	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard	yes users and table-level permissions
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More resources
	Atos Standard Common Repository	OpenTenBase	Postgres-XL	RethinkDB
DB-Engines blog posts				Meet some database management systems you are likely to hear more about in the future 4 August 2014, Paul Andlinger show all
Recent citations in the news				An introduction to building realtime apps with RethinkDB 9 July 2022, devmio How to Use RethinkDB with Node.js Applications — SitePoint 16 December 2015, SitePoint Stripe acquires team behind NoSQL database startup RethinkDB 5 October 2016, VentureBeat RethinkDB is dead, and MongoDB isn't what killed it 24 January 2017, TechRepublic Open Source Horizon Claims Edge over Google's Firebase Mobile Back-End -- ADTmag 23 May 2016, ADT Magazine provided by Google News

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