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DBMS > 4D vs. Atos Standard Common Repository vs. Citus vs. etcd vs. Geode

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Citus vs. etcd vs. Geode

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonetcd  Xexclude from comparisonGeode  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 networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed reliable key-value storeGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.cometcd.io
github.com/­etcd-io/­etcd
geode.apache.org
Technical documentationdeveloper.4d.comdocs.citusdata.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
geode.apache.org/­docs
Developer4D, IncAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release1984201620102002
Current releasev20, April 202317038.1, December 20183.4, August 20191.1, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfire
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 languageJavaCGoJava
Server operating systemsOS X
Windows
LinuxLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesnoyes
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.yesyesyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92noyes infostandard, with numerous extensionsnoSQL-like query language (OQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions
Triggersyesyesyesyes, watching key changesyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication infoother methods possible by using 3rd party extensionsUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
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 configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationfine grained access rights according to SQL-standardnoAccess rights per client and object definable

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4D infoformer name: 4th DimensionAtos Standard Common RepositoryCitusetcdGeode
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