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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. Axibase vs. Citus

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. Axibase vs. Citus

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonAxibase  Xexclude from comparisonCitus  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL
Primary database modelTime Series DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryaxibase.com/­docs/­atsd/­financewww.citusdata.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.citusdata.com
DeveloperApache Software FoundationAtos Convergence CreatorsAxibase Corporation
Initial release2018201620132010
Current release1.1.0, April 20231703155858.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoAGPL, commercial license also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infoshort, integer, long, float, double, decimal, stringyes
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.noyesnoyes infospecific XML type available, but no XML query functionality
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infostandard, with numerous extensions
APIs and other access methodsJDBC
Native API
LDAPJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsGo
Java
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACID
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.yesyesno
User concepts infoAccess controlyesLDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
Apache IoTDBAtos Standard Common RepositoryAxibaseCitus
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