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DBMS > Atos Standard Common Repository vs. Citus vs. DolphinDB vs. KairosDB

System Properties Comparison Atos Standard Common Repository vs. Citus vs. DolphinDB vs. KairosDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonDolphinDB  Xexclude from comparisonKairosDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly 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 PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.71
Rank#230  Overall
#20  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comwww.dolphindb.comgithub.com/­kairosdb/­kairosdb
Technical documentationdocs.citusdata.comdocs.dolphindb.cn/­en/­help200/­index.htmlkairosdb.github.io
DeveloperAtos Convergence CreatorsDolphinDB, Inc
Initial release2016201020182013
Current release17038.1, December 2018v2.00.4, January 20221.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercial infofree community version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++Java
Server operating systemsLinuxLinuxLinux
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsSQL-like query languageno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAdministrators, Users, Groupssimple password-based access control

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More resources
Atos Standard Common RepositoryCitusDolphinDBKairosDB
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