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DBMS > Amazon CloudSearch vs. FatDB vs. Hyprcubd vs. YTsaurus

System Properties Comparison Amazon CloudSearch vs. FatDB vs. Hyprcubd vs. YTsaurus

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFatDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonYTsaurus  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.Serverless Time Series DBMSYTsaurus is an open source platform for distributed storage and processing.
Primary database modelSearch engineDocument store
Key-value store
Time Series DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteaws.amazon.com/­cloudsearchhyprcubd.com (offline)ytsaurus.tech
Technical documentationdocs.aws.amazon.com/­cloudsearchytsaurus.tech/­docs/­en
DeveloperAmazonFatCloudHyprcubd, Inc.Yandex
Initial release201220122023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoC++
Server operating systemshostedWindowshostedUbuntu
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyes
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 infoall search fields are automatically indexedyesno
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsHTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (https)
Supported programming languagesC#C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesno infoCan implement custom security layer via applicationstoken accessAccess Control Lists

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More resources
Amazon CloudSearchFatDBHyprcubdYTsaurus
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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

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

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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16 July 2021, Towards Data Science

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