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DBMS > Google BigQuery vs. InfluxDB vs. MySQL

System Properties Comparison Google BigQuery vs. InfluxDB vs. MySQL

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDBMS 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 modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.44
Rank#27  Overall
#16  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score1266.28
Rank#2  Overall
#2  Relational DBMS
Websitecloud.google.com/­bigquerywww.influxdata.com/­time-series-platform/­influxdbwww.mysql.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.influxdata.com/­influxdbdev.mysql.com/­doc
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release201020131995
Current release1.7.8, August 20198.0.18, October 2019
License infoCommercial or Open SourcecommercialOpen 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 serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageGoC and C++
Server operating systemshostedLinux
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 indexesnonoyes
SQL infoSupport of SQLyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIHTTP API
JSON over UDP
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.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 proceduresuser defined functions infoin JavaScriptnoyes infoproprietary syntax
Triggersnonoyes
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 nodesselectable replication factor infoin enterprise version onlyMaster-master replication
Master-slave 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 integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACID 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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)simple rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Google BigQueryInfluxDBMySQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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SQLPro for MySQL: A simple but powerful MySQL database client available on iPhone and iPad as well as macOS.
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Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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ScaleGrid: Fully managed MySQL-as-a-Service.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryInfluxDBMySQL
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Recent citations in the news

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13 December 2018, Analytics India Magazine

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23 March 2016, ZDNet

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InfluxData Launches Enterprise-Class Time Series Solution as a Cloud Service
30 October 2019, Integration Developers

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