DBMS > 4D vs. Atos Standard Common Repository vs. Faircom DB vs. SAP SQL Anywhere

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Faircom DB vs. SAP SQL Anywhere

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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	Faircom DB formerly c-treeACE  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  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	Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database model	Relational DBMS	Document store Key-value store	Key-value store Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.47 Rank #110   Overall #54   Relational DBMS		Score 0.29 Rank #304   Overall #43   Key-value stores #136   Relational DBMS	Score 3.95 Rank #80   Overall #42   Relational DBMS
Website	www.4d.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.faircom.com/­products/­faircom-db	www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentation	developer.4d.com		docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html	help.sap.com/­docs/­SAP_SQL_Anywhere
Developer	4D, Inc	Atos Convergence Creators	FairCom Corporation	SAP formerly Sybase
Initial release	1984	2016	1979	1992
Current release	v20, April 2023	1703	V12, November 2020	17, July 2015
License Commercial or Open Source	commercial	commercial	commercial Restricted, free version 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	ANSI C, C++
Server operating systems	OS X Windows	Linux	AIX FreeBSD HP-UX Linux NetBSD OS X QNX SCO Solaris VxWorks Windows easily portable to other OSs	AIX HP-UX Linux OS X Solaris Windows
Data scheme	yes	Schema and schema-less with LDAP views	schema free, schema optional, schema required, partial schema,	yes
Typing predefined data types such as float or date	yes	optional	yes, ANSI SQL Types, JSON, typed binary structures	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	yes
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes close to SQL 92	no	yes, ANSI SQL with proprietary extensions	yes
APIs and other access methods	ODBC RESTful HTTP API by using 4D Mobile SOAP webservices	LDAP	ADO.NET Direct SQL JDBC JPA ODBC RESTful HTTP/JSON API RESTful MQTT/JSON API RPC	ADO.NET HTTP API JDBC ODBC
Supported programming languages	4D proprietary IDE PHP	All languages with LDAP bindings	.Net C C# C++ Java JavaScript (Node.js and browser) PHP Python Visual Basic	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	yes	no	yes .Net, JavaScript, C/C++	yes, in C/C++, Java, .Net or Perl
Triggers	yes	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	File partitioning, horizontal partitioning, sharding Customizable business rules for table partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	yes	yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).	Source-replica replication Database mirroring
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	Eventual Consistency Immediate Consistency Tunable consistency per server, database, table, and transaction	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	tunable from ACID to Eventually Consistent	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	Yes, tunable from durable to delayed durability to in-memory	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes	yes
User concepts Access control	Users and groups	LDAP bind authentication	Fine grained access rights according to SQL-standard with additional protections for files	fine grained access rights according to SQL-standard
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More resources
	4D former name: 4th Dimension	Atos Standard Common Repository	Faircom DB formerly c-treeACE	SAP SQL Anywhere formerly called Adaptive Server Anywhere
DB-Engines blog posts	MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger show all
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