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DBMS > Google Search Appliance vs. Sphinx

System Properties Comparison Google Search Appliance vs. Sphinx

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Our visitors often compare Google Search Appliance and Sphinx with Elasticsearch, Solr and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.59
Rank#90  Overall
#9  Search engines
Score6.02
Rank#54  Overall
#6  Search engines
Websiteenterprise.google.com/­search/­products/­gsa.htmlsphinxsearch.com
Technical documentationsupport.google.com/­gsasphinxsearch.com/­docs
DeveloperGoogleSphinx Technologies Inc.
Initial release20022001
Current release3.1.1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence 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 languageC++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateno
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.no
Secondary indexesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Proprietary protocol
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
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 infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentication via various security protocolsno

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More resources
Google Search ApplianceSphinx
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

So Long Google Search Appliance
4 February 2016, Fortune

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

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2 April 2020, Search Engine Journal

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12 March 2020, Search Engine Roundtable

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