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DBMS > Amazon CloudSearch vs. Sphinx vs. Ultipa

System Properties Comparison Amazon CloudSearch vs. Sphinx vs. Ultipa

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonSphinx  Xexclude from comparisonUltipa  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 databasesHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSearch engineSearch engineGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score6.03
Rank#60  Overall
#6  Search engines
Score0.16
Rank#332  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­cloudsearchsphinxsearch.comwww.ultipa.com
Technical documentationdocs.aws.amazon.com/­cloudsearchsphinxsearch.com/­docswww.ultipa.com/­document
DeveloperAmazonSphinx Technologies Inc.Ultipa
Initial release201220012019
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 protocolRESTful HTTP API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Go
Java
JavaScript (Node.js)
Python
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 CloudSearchSphinxUltipa
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

provided by Google News

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4 September 2020, Search Engine Journal

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