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DBMS > InfluxDB vs. MariaDB

System Properties Comparison InfluxDB vs. MariaDB

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Our visitors often compare InfluxDB and MariaDB with MongoDB, MySQL and Cassandra.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.
Primary database modelTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.08
Rank#34  Overall
#1  Time Series DBMS
Score86.52
Rank#12  Overall
#8  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdocs.influxdata.com/­influxdbmariadb.com/­kb/­en/­library
DeveloperMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release20132009
Current release1.7.5, March 201910.3.15, May 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MariaDB Managed Service: A customized MariaDB deployment fully managed by the experts at MariaDB in the cloud of your choice. Keeps you up to date with features, upgrades, hotfixes and security patches.
  • Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
Implementation languageGoC and C++
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeschema-freeyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsHTTP API
JSON over UDP
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoPL/SQL compatibility added with version 10.3
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyHorizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, key
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-master replication infousing MariaDB Galera Cluster
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engine
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 infowith MEMORY storage engine
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBMariaDB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Open source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
High availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Web, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Booking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

Azure Database for MariaDB: Easily deploy applications to the cloud.
» more

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

More resources
InfluxDBMariaDB
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

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MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

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Conferences and events

InfluxDays
London, 13-14 June 2019

Recent citations in the news

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
7 May 2019, DevOps.com

How the Aquicore Solution Cuts Energy Waste and Improve Tenant Comfort Levels with InfluxDB Cloud
9 May 2019, ADT Magazine

What's the point: Firebase, InfluxDB Cloud, Google Cloud TPU pods
8 May 2019, DevClass

The OAS Data Historian Now Supports the InfluxDB Time Series Database Engine - Press Release
23 May 2019, Digital Journal

InfluxData Expands to Austin
1 May 2019, Business Wire

provided by Google News

New MariaDB Kubernetes Operator Achieves Red Hat OpenShift Operator Certification
8 May 2019, Yahoo Finance

Percona Unveils Stellar Keynote Schedule for Eighth Annual Percona Live Open Source Database Conference
9 May 2019, GlobeNewswire

The Latest Azure Database Updates: After Build, Microsoft makes PostgreSQL, CosmosDB, MongoDB and Database Edge announcements
23 May 2019, MSDynamicsWorld.com

For MariaDB, it’s time to put the pieces together
27 February 2019, ZDNet

Innovative Report on Relational Databases Software Market with Major Key Players like Microsoft, MySQL, Oracle, SAP, PostgreSQL, Amazon, IBM, MariaDB
21 May 2019, The Market Research News

provided by Google News

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