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DBMS > Google BigQuery vs. Google Search Appliance

System Properties Comparison Google BigQuery vs. Google Search Appliance

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Our visitors often compare Google BigQuery and Google Search Appliance with Elasticsearch, Solr and SAP HANA.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesThe Google Search Appliance consists of hardware and software for indexing documents in local networks.
Primary database modelRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.63
Rank#28  Overall
#16  Relational DBMS
Score2.86
Rank#86  Overall
#9  Search engines
Websitecloud.google.com/­bigqueryenterprise.google.com/­search/­products/­gsa.html
Technical documentationcloud.google.com/­bigquery/­docssupport.google.com/­gsa
DeveloperGoogleGoogle
Initial release20102002
License infoCommercial or Open Sourcecommercialcommercial
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.
Server operating systemshosted
Data schemeyes
Typing infopredefined data types such as float or dateyes
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 SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIAdministrative API
Browser interface
HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
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 data
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.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)User authentication via various security protocols

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More resources
Google BigQueryGoogle Search Appliance
DB-Engines blog posts

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7 February 2017, Matthias Gelbmann

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Recent citations in the news

Google Cloud Platform breaks through with big enterprises, signs up Disney and others
23 March 2016, ZDNet

provided by Google News

Elastic Is Looking a Lot Like Google 10 Years Ago
10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

Google Search Appliance Fades Away
9 February 2016, CMSWire

Google's hybrid cloud platform is now in beta
21 February 2019, DatacenterDynamics

Google Revamps Enterprise Search Appliance
11 February 2014, InformationWeek

provided by Google News

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