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DBMS > InfluxDB vs. IRONdb vs. Kinetica vs. RRDtool

System Properties Comparison InfluxDB vs. IRONdb vs. Kinetica vs. RRDtool

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonRRDtool  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDBMS for storing time series, events and metricsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.circonus.com/solutions/time-series-database/www.kinetica.comoss.oetiker.ch/­rrdtool
Technical documentationdocs.influxdata.com/­influxdbdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comoss.oetiker.ch/­rrdtool/­doc
DeveloperCirconus LLC.KineticaTobias Oetiker
Initial release2013201720121999
Current release2.7.6, April 2024V0.10.20, January 20187.1, August 20211.8.0, 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercialOpen Source infoGPL V2 and FLOSS
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 languageGoC and C++C, C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinuxHP-UX
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes infotext, numeric, histogramsyesNumeric data only
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.nononono infoExporting into and restoring from XML files possible
Secondary indexesnonoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsno
APIs and other access methodsHTTP API
JSON over UDP
HTTP APIJDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoyes, in Luauser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
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.yes infoDepending on used storage enginenoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlsimple rights management via user accountsnoAccess rights for users and roles on table levelno
More information provided by the system vendor
InfluxDBIRONdbKineticaRRDtool
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBIRONdbKineticaRRDtool
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Recent citations in the news

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