DBMS > Atos Standard Common Repository vs. Databend vs. STSdb vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Databend vs. STSdb vs. Valentina Server

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Databend  Xexclude from comparison	STSdb  Xexclude from comparison	Valentina Server  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 open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity	Key-Value Store with special method for indexing optimized for high performance using a special indexing method	Object-relational database and reports server
Primary database model	Document store Key-value store	Relational DBMS	Key-value store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.34 Rank #283   Overall #130   Relational DBMS	Score 0.10 Rank #357   Overall #51   Key-value stores	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­datafuselabs/­databend www.databend.com	github.com/­STSSoft/­STSdb4	www.valentina-db.net
Technical documentation		docs.databend.com		valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	Atos Convergence Creators	Databend Labs	STS Soft SC	Paradigma Software
Initial release	2016	2021	2011	1999
Current release	1703	1.0.59, April 2023	4.0.8, September 2015	5.7.5
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	Open Source GPLv2, commercial license available	commercial
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	Rust	C#
Server operating systems	Linux	hosted Linux macOS	Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	yes primitive types and user defined types (classes)	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
Secondary indexes	yes	no	no	yes
SQL Support of SQL	no	yes	no	yes
APIs and other access methods	LDAP	CLI Client JDBC RESTful HTTP API	.NET Client API	ODBC
Supported programming languages	All languages with LDAP bindings	Go Java JavaScript (Node.js) Python Rust	C# Java	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	none
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	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	no
Concurrency Support for concurrent manipulation of data	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			yes
User concepts Access control	LDAP bind authentication	Users with fine-grained authorization concept, user roles	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Databend	STSdb	Valentina Server
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