DBMS > Atos Standard Common Repository vs. Cloudflare Workers KV vs. Postgres-XL vs. Transbase

System Properties Comparison Atos Standard Common Repository vs. Cloudflare Workers KV vs. Postgres-XL vs. Transbase

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cloudflare Workers KV  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Transbase  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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Relational DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.39 Rank #274   Overall #39   Key-value stores	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.cloudflare.com/­developer-platform/­workers-kv	www.postgres-xl.org	www.transaction.de/­en/­products/­transbase.html
Technical documentation		developers.cloudflare.com/­kv/­api	www.postgres-xl.org/­documentation	www.transaction.de/­en/­products/­transbase/­features.html
Developer	Atos Convergence Creators	Cloudflare		Transaction Software GmbH
Initial release	2016	2018	2014 since 2012, originally named StormDB	1987
Current release	1703		10 R1, October 2018	Transbase 8.3, 2022
License Commercial or Open Source	commercial	commercial	Open Source Mozilla public license	commercial free development license
Cloud-based only Only available as a cloud service	no	yes	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 and C++
Server operating systems	Linux	hosted	Linux macOS	FreeBSD Linux macOS Solaris Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	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	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	yes
APIs and other access methods	LDAP	HTTP REST Proprietary protocol	ADO.NET JDBC native C library ODBC streaming API for large objects	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	All languages with LDAP bindings	C C++ Dart JavaScript Kotlin Python Rust Scala	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	no	no	user defined functions	yes
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		horizontal partitioning
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	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID MVCC	yes
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	no
User concepts Access control	LDAP bind authentication		fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Cloudflare Workers KV	Postgres-XL	Transbase
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