DBMS > Atos Standard Common Repository vs. CockroachDB vs. GBase vs. Postgres-XL

System Properties Comparison Atos Standard Common Repository vs. CockroachDB vs. GBase vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	CockroachDB  Xexclude from comparison	GBase  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	CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.	Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.	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 5.73 Rank #58   Overall #34   Relational DBMS	Score 1.05 Rank #186   Overall #86   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.cockroachlabs.com	www.gbase.cn	www.postgres-xl.org
Technical documentation		www.cockroachlabs.com/­docs		www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	Cockroach Labs	General Data Technology Co., Ltd.
Initial release	2016	2015	2004	2014 since 2012, originally named StormDB
Current release	1703	24.1.0, May 2024	GBase 8a, GBase 8s, GBase 8c	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache 2.0, commercial license available	commercial	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	Go	C, Java, Python	C
Server operating systems	Linux	Linux macOS Windows	Linux	Linux macOS
Data scheme	Schema and schema-less with LDAP views	dynamic schema	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	yes XML type, but no XML query functionality
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes, wire compatible with PostgreSQL	Standard with numerous extensions	yes distributed, parallel query execution
APIs and other access methods	LDAP	JDBC	ADO.NET C API JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C# C++ Clojure Go Java JavaScript (Node.js) PHP Python Ruby Rust	C#	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	no	user defined functions	user defined functions
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning (by key range) all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT	horizontal partitioning (by range, list and hash) and vertical partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication using RAFT	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	Role-based access control	yes	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	CockroachDB	GBase	Postgres-XL
Recent citations in the news		Cockroach Labs Deepens Partnership with Google Cloud, CockroachDB Selected to Join Google Distributed Cloud 9 April 2024, PR Newswire CockroachDB tempts legacy databases to crawl into the cloud age 29 January 2024, The Register How DoorDash Migrated from Aurora Postgres to CockroachDB 5 December 2023, The New Stack DoorDash Uses CockroachDB to Create Config Management Platform for Microservices 14 February 2024, InfoQ.com How to Unlock Real-Time Data Streams with CockroachDB and Amazon MSK | Amazon Web Services 6 November 2023, AWS Blog provided by Google News

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