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DBMS > Axibase vs. Google BigQuery vs. InfluxDB vs. MySQL

System Properties Comparison Axibase vs. Google BigQuery vs. InfluxDB vs. MySQL

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationLarge scale data warehouse service with append-only tablesDBMS for storing time series, events and metricsWidely used open source RDBMS
Primary database modelTime Series DBMSRelational 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
Score0.25
Rank#247  Overall
#15  Time Series DBMS
Score26.76
Rank#26  Overall
#15  Relational DBMS
Score21.14
Rank#32  Overall
#1  Time Series DBMS
Score1274.65
Rank#2  Overall
#2  Relational DBMS
Websiteaxibase.com/­products/­axibase-time-series-databasecloud.google.com/­bigquerywww.influxdata.com/­products/­influxdb-overviewwww.mysql.com
Technical documentationgithub.com/­axibase/­atsdcloud.google.com/­bigquery/­docsdocs.influxdata.com/­influxdbdev.mysql.com/­doc
DeveloperAxibase CorporationGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release2013201020131995
Current release155851.7.8, August 20198.0.18, October 2019
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen 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 servicenoyesnono
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 languageJavaGoC and C++
Server operating systemsLinuxhostedLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesNumeric 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.nononoyes
Secondary indexesnononoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.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 proceduresyesuser defined functions infoin JavaScriptnoyes infoproprietary syntax
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version onlyMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.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
AxibaseGoogle 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

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More resources
AxibaseGoogle BigQueryInfluxDBMySQL
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