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DBMS > Amazon CloudSearch vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. Sphinx

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Our visitors often compare Amazon CloudSearch and Sphinx with Elasticsearch, Solr and PostgreSQL.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen 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
Score2.48
Rank#120  Overall
#11  Search engines
Score7.12
Rank#62  Overall
#8  Search engines
Websiteaws.amazon.com/­cloudsearchsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchsphinxsearch.com/­docs
DeveloperAmazonSphinx Technologies Inc.
Initial release20122001
Current release3.4.1, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence 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 languageC++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
Secondary indexesyes infoall search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIProprietary protocol
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
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 datanono
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.
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchSphinx
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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

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

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Recent citations in the news

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Using AWS Cloud Search
11 December 2012, InfoQ.com

Amazon unveils CloudSearch service
12 April 2012, CNET

How your company can adopt a usage-based business model like AWS
11 July 2022, TechCrunch

People search in Google Cloud Search and APIs reduces efforts to find people
5 March 2022, Devdiscourse

provided by Google News

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