DBMS > 4D vs. Atos Standard Common Repository vs. BigObject vs. Fujitsu Enterprise Postgres

System Properties Comparison 4D vs. Atos Standard Common Repository vs. BigObject vs. Fujitsu Enterprise Postgres

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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	BigObject  Xexclude from comparison	Fujitsu Enterprise Postgres  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	Analytic DBMS for real-time computations and queries	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.47 Rank #110   Overall #54   Relational DBMS		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.37 Rank #278   Overall #128   Relational DBMS
Website	www.4d.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.postgresql.fastware.com
Technical documentation	developer.4d.com		docs.bigobject.io	www.postgresql.fastware.com/­product-manuals
Developer	4D, Inc	Atos Convergence Creators	BigObject, Inc.	PostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release	1984	2016	2015
Current release	v20, April 2023	1703		Fujitsu Enterprise Postgres 14, January 2022
License Commercial or Open Source	commercial	commercial	commercial free community edition 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		C
Server operating systems	OS X Windows	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux Windows
Data scheme	yes	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	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	yes	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes close to SQL 92	no	SQL-like DML and DDL statements	yes
APIs and other access methods	ODBC RESTful HTTP API by using 4D Mobile SOAP webservices	LDAP	fluentd ODBC RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	4D proprietary IDE PHP	All languages with LDAP bindings		.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	yes	no	Lua	user defined functions
Triggers	yes	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	none	partitioning by range, list and by hash
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	yes	none	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	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes automatically between fact table and dimension tables	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes Read/write lock on objects (tables, trees)	yes, multi-version concurrency control (MVCC)
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	yes
User concepts Access control	Users and groups	LDAP bind authentication	no	fine grained access rights according to SQL-standard
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More resources
	4D former name: 4th Dimension	Atos Standard Common Repository	BigObject	Fujitsu Enterprise Postgres
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				Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... 26 February 2015, Fujitsu Expert Insight 202009 KAC 4 September 2023, Fujitsu Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ... 28 June 2023, Fujitsu Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain 22 May 2018, The Register DCPMM 1 August 2020, Fujitsu provided by Google News

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