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DBMS > Google Search Appliance vs. InfluxDB

System Properties Comparison Google Search Appliance vs. InfluxDB

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Our visitors often compare Google Search Appliance and InfluxDB with Elasticsearch, Microsoft Azure Search and Solr.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.DBMS for storing time series, events and metrics
Primary database modelSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#88  Overall
#8  Search engines
Score18.00
Rank#34  Overall
#1  Time Series DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.influxdata.com/­time-series-platform/­influxdb
Technical documentationsupport.google.com/­gsadocs.influxdata.com/­influxdb
DeveloperGoogle
Initial release20022013
Current release1.7.6, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X infothrough Homebrew
Data schemeschema-free
Typing infopredefined data types such as float or dateNumeric 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 indexesno
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsAdministrative API
Browser interface
HTTP API
HTTP API
JSON over UDP
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of 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 controlUser authentication via various security protocolssimple rights management via user accounts
More information provided by the system vendor
Google Search ApplianceInfluxDB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» 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 , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» 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 Search ApplianceInfluxDB
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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Recent citations in the news

So Long Google Search Appliance
4 February 2016, Fortune

Cognitive Data Management Market: Size, Share, Emerging Trends, Growth Opportunities, Technology, Business Function, Deployment Type, Regional Analysis, Competitive Landscape & Forecast 2025
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What is a Google Search Appliance?
8 January 2014, TechRepublic

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

Google Search Appliance Fades Away
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