DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfluxDB vs. KairosDB vs. MongoDB

System Properties Comparison InfluxDB vs. KairosDB vs. MongoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonKairosDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsDistributed Time Series DBMS based on Cassandra or H2One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.86
Rank#29  Overall
#1  Time Series DBMS
Score0.65
Rank#214  Overall
#15  Time Series DBMS
Score480.73
Rank#5  Overall
#1  Document stores
Websitewww.influxdata.com/­products/­influxdb-overviewgithub.com/­kairosdb/­kairosdbwww.mongodb.com
Technical documentationdocs.influxdata.com/­influxdbkairosdb.github.iodocs.mongodb.com/­manual
DeveloperMongoDB, Inc
Initial release201320132009
Current release2.0.8, August 20211.2.2, November 20185.0.8, April 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageGoJavaC++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsHTTP API
JSON over UDP
Graphite protocol
HTTP REST
Telnet API
proprietary protocol using JSON
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
JavaScript infoNode.js
PHP
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresnonoJavaScript
Triggersnonoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infobased on CassandraSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyselectable replication factor infobased on CassandraMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
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 infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlsimple rights management via user accountssimple password-based access controlAccess rights for users and roles
More information provided by the system vendor
InfluxDBKairosDBMongoDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersInfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsFastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances
» more
200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

Percona: Database problems? Not on your watch.
Databases run better with Percona.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfluxDBKairosDBMongoDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all