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DBMS > EXASOL vs. InfluxDB vs. MySQL vs. Prometheus

System Properties Comparison EXASOL vs. InfluxDB vs. MySQL vs. Prometheus

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.DBMS for storing time series, events and metricsWidely used open source RDBMSOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.exasol.comwww.influxdata.com/­products/­influxdb-overviewwww.mysql.comprometheus.io
Technical documentationwww.exasol.com/­resourcesdocs.influxdata.com/­influxdbdev.mysql.com/­docprometheus.io/­docs
DeveloperExasolOracle infosince 2010, originally MySQL AB, then Sun
Initial release2000201319952015
Current release2.7.6, April 20248.3.0, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen 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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageGoC and C++Go
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and StringsyesNumeric 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.nonoyesno infoImport of XML data possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesSQL-like query languageyes infowith proprietary extensionsno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntaxno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
EXASOLInfluxDBMySQLPrometheus
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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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 MySQL is the ideal solution for MySQL/MariaDB administration and development.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

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

More resources
EXASOLInfluxDBMySQLPrometheus
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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MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

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

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

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