DBMS > 4D vs. Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. SWC-DB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. SWC-DB

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Editorial information provided by DB-Engines
Name	4D former name: 4th Dimension  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	SWC-DB Super Wide Column Database  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Application development environment with integrated database management system	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A Wide Column Store for rapid development using massive semi-structured datasets	A high performance, scalable Wide Column DBMS
Primary database model	Relational DBMS	Document store Key-value store	Wide column store	Wide column store
Secondary database models				Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.47 Rank #110   Overall #54   Relational DBMS		Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.08 Rank #364   Overall #13   Wide column stores
Website	www.4d.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­storage/­tables	github.com/­kashirin-alex/­swc-db www.swcdb.org
Technical documentation	developer.4d.com
Developer	4D, Inc	Atos Convergence Creators	Microsoft	Alex Kashirin
Initial release	1984	2016	2012	2020
Current release	v20, April 2023	1703		0.5, April 2021
License Commercial or Open Source	commercial	commercial	commercial	Open Source GPL V3
Cloud-based only Only available as a cloud service	no	no	yes	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	OS X Windows	Linux	hosted	Linux
Data scheme	yes	Schema and schema-less with LDAP views	schema-free	schema-free
Typing predefined data types such as float or date	yes	optional	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	no	no
Secondary indexes	yes	yes	no
SQL Support of SQL	yes close to SQL 92	no	no	SQL-like query language
APIs and other access methods	ODBC RESTful HTTP API by using 4D Mobile SOAP webservices	LDAP	RESTful HTTP API	Proprietary protocol Thrift
Supported programming languages	4D proprietary IDE PHP	All languages with LDAP bindings	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	C++
Server-side scripts Stored procedures	yes	no	no	no
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	Sharding Implicit feature of the cloud service	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	yes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	optimistic locking
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.	no	yes	no	no
User concepts Access control	Users and groups	LDAP bind authentication	Access rights based on private key authentication or shared access signatures
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More resources
	4D former name: 4th Dimension	Atos Standard Common Repository	Microsoft Azure Table Storage	SWC-DB Super Wide Column Database
DB-Engines blog posts	MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger show all
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange Inside Azure File Storage 7 October 2015, Microsoft provided by Google News	2022 All O-Zone Football Team 17 December 2022, Ozarks Sports Zone provided by Google News

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