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DBMS > 4D vs. Atos Standard Common Repository vs. Citus vs. KairosDB vs. Kinetica

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Citus vs. KairosDB vs. Kinetica

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  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 PostgreSQLDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
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
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comgithub.com/­kairosdb/­kairosdbwww.kinetica.com
Technical documentationdeveloper.4d.comdocs.citusdata.comkairosdb.github.iodocs.kinetica.com
Developer4D, IncAtos Convergence CreatorsKinetica
Initial release19842016201020132012
Current releasev20, April 202317038.1, December 20181.2.2, November 20187.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercial
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 languageJavaCJavaC, C++
Server operating systemsOS X
Windows
LinuxLinuxLinux
OS X
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92noyes infostandard, with numerous extensionsnoSQL-like DML and DDL statements
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
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
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
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
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
Triggersyesyesyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on CassandraSource-replica 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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnono
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 infoGPU vRAM or System RAM
User concepts infoAccess controlUsers and groupsLDAP bind authenticationfine grained access rights according to SQL-standardsimple password-based access controlAccess rights for users and roles on table level

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryCitusKairosDBKinetica
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