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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	chDB  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	An embedded SQL OLAP Engine powered by ClickHouse	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		Time Series DBMS		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.07 Rank #376   Overall #158   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	github.com/­chdb-io/­chdb	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	www.postgres-xl.org
Technical documentation		doc.chdb.io	docs.opentenbase.org docs.opentenbase.org/­en	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators		OpenAtom Foundation, previously Tencent
Initial release	2016	2023		2014 since 2012, originally named StormDB
Current release	1703		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
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java			C
Server operating systems	Linux	server-less	Linux	Linux macOS
Data scheme	Schema and schema-less with LDAP views		yes	yes
Typing predefined data types such as float or date	optional		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
Secondary indexes	yes		yes	yes
SQL Support of SQL	no	Close to ANSI SQL (SQL/JSON + extensions)	yes	yes distributed, parallel query execution
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	Bun C C++ Go JavaScript (Node.js) Python Rust	C Go Java PHP Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no			user defined functions
Triggers	yes		yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes
MapReduce Offers an API for user-defined Map/Reduce methods				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		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
Durability Support for making data persistent	yes		yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			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
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