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DBMS > 4D vs. Atos Standard Common Repository vs. Dragonfly vs. Kingbase vs. RDF4J

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Dragonfly vs. Kingbase vs. RDF4J

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonKingbase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.kingbase.com.cnrdf4j.org
Technical documentationdeveloper.4d.comwww.dragonflydb.io/­docsrdf4j.org/­documentation
Developer4D, IncAtos Convergence CreatorsDragonflyDB team and community contributorsBeiJing KINGBASE Information technologies inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19842016202319992004
Current releasev20, April 202317031.0, March 2023V8.0, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSL 1.1commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and JavaJava
Server operating systemsOS X
Windows
LinuxLinuxLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesSchema and schema-less with LDAP viewsscheme-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesnoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoStandard with numerous extensionsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoLuauser defined functionsyes
Triggersyesyespublish/subscribe channels provide some trigger functionalityyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsAtomic execution of command blocks and scriptsACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationPassword-based authenticationfine grained access rights according to SQL-standardno

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDragonflyKingbaseRDF4J infoformerly known as Sesame
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