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DBMS > H2 vs. InfluxDB vs. MySQL

System Properties Comparison H2 vs. InfluxDB vs. MySQL

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DBMS for storing time series, events and metricsWidely used open source RDBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMSSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#51  Overall
#32  Relational DBMS
Score28.48
Rank#28  Overall
#1  Time Series DBMS
Score1106.67
Rank#2  Overall
#2  Relational DBMS
Websitewww.h2database.comwww.influxdata.com/­products/­influxdb-overviewwww.mysql.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.influxdata.com/­influxdbdev.mysql.com/­doc
DeveloperThomas MuellerOracle infosince 2010, originally MySQL AB, then Sun
Initial release200520131995
Current release2.2.220, July 20232.7.5, January 20248.3.0, January 2024
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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 languageJavaGoC and C++
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric 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.nonoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava.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
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsnoyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
H2InfluxDBMySQL
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 25,500 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
News

Time Series Data and OLAP: Why You Should Use InfluxDB for Real-Time Analytics
23 February 2024

InfluxDB 3.0: The Ideal Solution for Real-Time Analytics
21 February 2024

How Time Series Databases and Data Lakes Work Together
19 February 2024

Using Time Series Data for Infrastructure Monitoring: Challenges and Advantages
16 February 2024

Powering Real-Time Data Processing with InfluxDB and AWS Kinesis
14 February 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.

Related products and services
3rd partiesPlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
» more

Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» 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
H2InfluxDBMySQL
DB-Engines blog posts

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Recent citations in the news

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

How Apache Arrow accelerates InfluxDB
21 November 2023, InfoWorld

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

InfluxData apologizes for deleting cloud regions without performing 'scream test'
11 July 2023, The Register

InfluxData Announces InfluxDB Clustered to Deliver Time Series Analytics for On-Premises and Private Cloud ...
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provided by Google News

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17 January 2024, azure.microsoft.com

Column names from headers in data files with MySQL HeatWave Lakehouse
16 October 2023, Oracle

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provided by Google News



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