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DBMS > Amazon CloudSearch vs. Heroic

System Properties Comparison Amazon CloudSearch vs. Heroic

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Our visitors often compare Amazon CloudSearch and Heroic with Elasticsearch and MongoDB.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#116  Overall
#10  Search engines
Score0.04
Rank#323  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchspotify.github.io/­heroic/­#!/­index
Technical documentationdocs.aws.amazon.com/­cloudsearchspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperAmazonSpotify
Initial release20122014
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
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 languageJava
Server operating systemshosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 infoall search fields are automatically indexedyes infovia Elasticsearch
SQL infoSupport of SQLnono
APIs and other access methodsHTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
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
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 signatures

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More resources
Amazon CloudSearchHeroic
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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Recent citations in the news

Enterprise Search Software Industry Market Trend, Technology Innovations and Growth Prediction 2021-2026
26 November 2021, Northwest Diamond Notes

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

Amazon CloudSearch brings A9 to devs and businesses
12 April 2012, Engadget

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

How to get Google search capabilities for your corporate data with Google Cloud Search
22 February 2017, TechRepublic

provided by Google News

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