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DBMS > Citus vs. InfluxDB vs. IRONdb vs. Lovefield

System Properties Comparison Citus vs. InfluxDB vs. IRONdb vs. Lovefield

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonInfluxDB  Xexclude from comparisonIRONdb  Xexclude from comparisonLovefield  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDBMS for storing time series, events and metricsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websitewww.citusdata.comwww.influxdata.com/­products/­influxdb-overviewwww.circonus.com/solutions/time-series-database/google.github.io/­lovefield
Technical documentationdocs.citusdata.comdocs.influxdata.com/­influxdbdocs.circonus.com/irondb/category/getting-startedgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCirconus LLC.Google
Initial release2010201320172014
Current release8.1, December 20182.7.5, January 2024V0.10.20, January 20182.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache 2.0
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 languageCGoC and C++JavaScript
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infotext, numeric, histogramsyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, in Luano
TriggersyesnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infoin enterprise version onlyconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage enginenoyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsnono
More information provided by the system vendor
CitusInfluxDBIRONdbLovefield
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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