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DBMS > InfluxDB vs. MongoDB vs. MySQL

System Properties Comparison InfluxDB vs. MongoDB vs. MySQL

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMongoDB  Xexclude from comparisonMySQL  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 infrastructureWidely used open source RDBMS
Primary database modelTime Series DBMSDocument storeRelational DBMS infoKey/Value like access via memcached API
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
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.12
Rank#28  Overall
#1  Time Series DBMS
Score419.15
Rank#5  Overall
#1  Document stores
Score1126.64
Rank#2  Overall
#2  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.mongodb.comwww.mysql.com
Technical documentationdocs.influxdata.com/­influxdbwww.mongodb.com/­docs/­manualdev.mysql.com/­doc
DeveloperMongoDB, IncOracle infosince 2010, originally MySQL AB, then Sun
Initial release201320091995
Current release2.7.1, April 20236.0.7, June 20238.2.0, October 2023
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 infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
  • Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageGoC++C and C++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
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, geospatialyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infowith proprietary extensions
APIs and other access methodsHTTP API
JSON over UDP
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
ODBC
Proprietary native 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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJavaScriptyes infoproprietary syntax
Triggersnoyes infoin MongoDB Atlas onlyyes
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.horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
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
Multi-source replication
Source-replica replication
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
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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 3.2yes
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
InfluxDBMongoDBMySQL
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 25,500 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
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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
InfluxDBMongoDBMySQL
DB-Engines blog posts

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Conferences, events and webinars

MySQL Enterprise Workshop
Denver, CO, 7 December 2023

MySQL Enterprise Workshop
Austin, TX, 13 December 2023

MySQL HeatWave and Database Day
Austin, TX, 14 December 2023

MySQL Enterprise Workshop
Orlando, FL, 31 January 2024

Recent citations in the news

2023 Summer of Learning— Data Consolidation | by Troy Curtsinger ...
1 December 2023, Medium

InfluxDB Clustered targets on-premises time-series database deployments
6 September 2023, InfoWorld

Install the InfluxDB Time-Series Database on Ubuntu Server 22.04
21 October 2023, The New Stack

Alerting with Grafana and InfluxDB Cloud Serverless
14 July 2023, The New Stack

Inside InfluxDB 3.0: Exploring InfluxDB's Scalable and Decoupled ...
15 August 2023, InfoQ.com

provided by Google News

MongoDB Announces Integration of MongoDB Atlas Vector Search ...
29 November 2023, PR Newswire

MongoDB looks to enable developers to do more sophisticated ...
29 November 2023, SiliconANGLE News

MongoDB Announces Atlas Vector Search Enhancement with ...
29 November 2023, Datanami

MongoDB (MDB) to Report Q3 Earnings: What's in the Offing?
1 December 2023, Yahoo Finance

Informatica and MongoDB Expand Global Partnership to Enable ...
29 November 2023, Yahoo Finance

provided by Google News

Insert Data into a MySQL Database via a Python Script
26 November 2023, The New Stack

MySQL 8.2 Introduces Transparent Read/Write Splitting
11 November 2023, InfoQ.com

Running MySQL on AWS: Step by Step
15 November 2023, Techzone360

Airbyte Heralds Broad Data Migration with Latest Support for ...
28 November 2023, Database Trends and Applications

Airbyte Announces Certified Connectors for MongoDB, MySQL ...
28 November 2023, Yahoo Finance

provided by Google News

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