DBMS > 4D vs. Atos Standard Common Repository vs. Galaxybase vs. Oracle Berkeley DB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Galaxybase vs. Oracle Berkeley 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	Galaxybase  Xexclude from comparison	Oracle Berkeley DB  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	Scalable, ACID-compliant native distributed parallel graph platform	Widely used in-process key-value store
Primary database model	Relational DBMS	Document store Key-value store	Graph DBMS	Key-value store supports sorted and unsorted key sets Native XML DBMS in the Oracle Berkeley DB XML version
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.47 Rank #110   Overall #54   Relational DBMS		Score 0.07 Rank #377   Overall #40   Graph DBMS	Score 2.01 Rank #126   Overall #21   Key-value stores #3   Native XML DBMS
Website	www.4d.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	galaxybase.com	www.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentation	developer.4d.com			docs.oracle.com/­cd/­E17076_05/­html/­index.html
Developer	4D, Inc	Atos Convergence Creators	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司	Oracle originally developed by Sleepycat, which was acquired by Oracle
Initial release	1984	2016	2017	1994
Current release	v20, April 2023	1703	Nov 20, November 2021	18.1.40, May 2020
License Commercial or Open Source	commercial	commercial	commercial	Open Source commercial license available
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 and Java	C, Java, C++ (depending on the Berkeley DB edition)
Server operating systems	OS X Windows	Linux	Linux	AIX Android FreeBSD iOS Linux OS X Solaris VxWorks Windows
Data scheme	yes	Schema and schema-less with LDAP views	Strong typed schema	schema-free
Typing predefined data types such as float or date	yes	optional	yes	no
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 only with the Berkeley DB XML edition
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes close to SQL 92	no	no	yes SQL interfaced based on SQLite is available
APIs and other access methods	ODBC RESTful HTTP API by using 4D Mobile SOAP webservices	LDAP	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API
Supported programming languages	4D proprietary IDE PHP	All languages with LDAP bindings	Go Java Python	.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET others Third-party libraries to manipulate Berkeley DB files are available for many languages C C# C++ Java JavaScript (Node.js) 3rd party binding Perl Python Tcl
Server-side scripts Stored procedures	yes	no	user defined procedures and functions	no
Triggers	yes	yes		yes only for the SQL API
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	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	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes Relationships in graphs	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	ACID
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.	no	yes	yes	yes
User concepts Access control	Users and groups	LDAP bind authentication	Role-based access control	no
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More resources
	4D former name: 4th Dimension	Atos Standard Common Repository	Galaxybase	Oracle Berkeley DB
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				Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions 26 April 2023, HPCwire ACM recognizes far-reaching technical achievements with special awards 26 May 2021, EurekAlert Oracle buys Sleepycat Software 14 February 2006, MarketWatch Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag 5 March 2019, ADT Magazine Margo I. Seltzer | Berkman Klein Center 18 August 2020, Berkman Klein Center provided by Google News

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