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DBMS > Google Search Appliance vs. Microsoft Azure Search

System Properties Comparison Google Search Appliance vs. Microsoft Azure Search

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

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Search-as-a-service for web and mobile app development
Primary database modelSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.99
Rank#100  Overall
#9  Search engines
Score6.84
Rank#51  Overall
#6  Search engines
Websiteenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­en-us/­services/­search
Technical documentationsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­search
DeveloperGoogleMicrosoft
Initial release20022015
Current releaseV1
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
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 indexesyes
SQL infoSupport of SQLnono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
RESTful HTTP API
Supported programming languages.Net
C#
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoImplicit feature of the cloud service
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
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 controlUser authentication via various security protocolsyes infousing Azure authentication

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More resources
Google Search ApplianceMicrosoft Azure Search
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So Long Google Search Appliance
4 February 2016, Fortune

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