DBMS > 4D vs. Atos Standard Common Repository vs. Bangdb vs. InterSystems Caché

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Bangdb vs. InterSystems Caché

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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	Bangdb  Xexclude from comparison	InterSystems Caché  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.		Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is 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	Converged and high performance database for device data, events, time series, document and graph	A multi-model DBMS and application server
Primary database model	Relational DBMS	Document store Key-value store	Document store Graph DBMS Time Series DBMS	Key-value store Object oriented DBMS Relational DBMS
Secondary database models			Spatial DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.47 Rank #110   Overall #54   Relational DBMS		Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS
Website	www.4d.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	bangdb.com	www.intersystems.com/­products/­cache
Technical documentation	developer.4d.com		docs.bangdb.com	docs.intersystems.com
Developer	4D, Inc	Atos Convergence Creators	Sachin Sinha, BangDB	InterSystems
Initial release	1984	2016	2012	1997
Current release	v20, April 2023	1703	BangDB 2.0, October 2021	2018.1.4, May 2020
License Commercial or Open Source	commercial	commercial	Open Source BSD 3	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, C++
Server operating systems	OS X Windows	Linux	Linux	AIX HP Open VMS HP-UX Linux OS X Solaris Windows
Data scheme	yes	Schema and schema-less with LDAP views	schema-free	depending on used data model
Typing predefined data types such as float or date	yes	optional	yes: string, long, double, int, geospatial, stream, events	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 secondary, composite, nested, reverse, geospatial	yes
SQL Support of SQL	yes close to SQL 92	no	SQL like support with command line tool	yes
APIs and other access methods	ODBC RESTful HTTP API by using 4D Mobile SOAP webservices	LDAP	Proprietary protocol RESTful HTTP API	.NET Client API JDBC ODBC RESTful HTTP API
Supported programming languages	4D proprietary IDE PHP	All languages with LDAP bindings	C C# C++ Java Python	C# C++ Java
Server-side scripts Stored procedures	yes	no	no	yes
Triggers	yes	yes	yes, Notifications (with Streaming only)	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	yes	selectable replication factor, Knob for CAP (enterprise version only)	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	Tunable consistency, set CAP knob accordingly	Immediate Consistency
Foreign keys Referential integrity	yes	no	no	yes
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, optimistic concurrency control	yes
Durability Support for making data persistent	yes	yes	yes, implements WAL (Write ahead log) as well	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes, run db with in-memory only mode	yes
User concepts Access control	Users and groups	LDAP bind authentication	yes (enterprise version only)	Access rights for users, groups and roles
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More resources
	4D former name: 4th Dimension	Atos Standard Common Repository	Bangdb	InterSystems Caché
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		Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		Defense Health Agency Awards Four Points Technology $39 Million for Intersystems Software Licenses and Maintenance 21 September 2023, ClearanceJobs AWS, GCP, Oracle, Azure, SAP Lead Cloud DBMS Market: Gartner 12 February 2022, CRN Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future 24 June 2022, ibm.com Associative Data Modeling Demystified - Part1 - DataScienceCentral.com 9 July 2016, Data Science Central Choosing a Database Technology. A roadmap and process overview | by Shirish Joshi 23 February 2020, Towards Data Science provided by Google News

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