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DBMS > InfluxDB vs. MongoDB vs. Prometheus

System Properties Comparison InfluxDB vs. MongoDB vs. Prometheus

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMongoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureOpen-source Time Series DBMS and monitoring system
Primary database modelTime Series DBMSDocument storeTime Series DBMS
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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.59
Rank#28  Overall
#1  Time Series DBMS
Score429.83
Rank#5  Overall
#1  Document stores
Score7.33
Rank#51  Overall
#3  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.mongodb.comprometheus.io
Technical documentationdocs.influxdata.com/­influxdbwww.mongodb.com/­docs/­manualprometheus.io/­docs
DeveloperMongoDB, Inc
Initial release201320092015
Current release2.7.6, April 20247.0.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
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Implementation languageGoC++Go
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-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.yes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes infostring, integer, double, decimal, boolean, date, object_id, geospatialNumeric 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.nono infoImport of XML data possible
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsHTTP API
JSON over UDP
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
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
Kotlin
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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
none
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users and rolesno
More information provided by the system vendor
InfluxDBMongoDBPrometheus
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersInfluxData has more than 1,900 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 27,500 GitHub stars Over 750,000 daily active instances
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» 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
News

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3 July 2024

A Guide to CI/CD Pipeline Performance Monitoring
1 July 2024

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.

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More resources
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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

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15 March 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
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How to Monitor an Ubuntu Server With Prometheus: Collecting and Visualizing System Metrics
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VTEX scales to 150 million metrics using Amazon Managed Service for Prometheus
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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see
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Consider Grafana vs. Prometheus for your time-series tools
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