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DBMS > Google BigQuery vs. InfluxDB

System Properties Comparison Google BigQuery vs. InfluxDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDBMS for storing time series, events and metrics
Primary database modelRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.60
Rank#24  Overall
#15  Relational DBMS
Score22.88
Rank#29  Overall
#1  Time Series DBMS
Websitecloud.google.com/­bigquerywww.influxdata.com/­products/­influxdb-overview
Technical documentationcloud.google.com/­bigquery/­docsdocs.influxdata.com/­influxdb
DeveloperGoogle
Initial release20102013
Current release1.8.0, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedLinux
OS X infothrough Homebrew
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Strings
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.nono
Secondary indexesnono
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIHTTP API
JSON over UDP
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
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
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 accounts
More information provided by the system vendor
Google BigQueryInfluxDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google BigQueryInfluxDB
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Recent citations in the news

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

provided by Google News

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