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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 MongoDB, Elasticsearch and Oracle NoSQL.

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
Score2.67
Rank#102  Overall
#9  Search engines
Score0.37
Rank#237  Overall
#15  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 Semantic Search Software Market Big Boom with Top Prominent Players like SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch
2 July 2020, Bandera County Courier

Enterprise Search Software Market 2020 Growth Analysis, Major Players – SLI Systems, Elasticsearch, Algolia, Apache Solr, Amazon CloudSearch, etc. COVID-19 Impact Analysis, Forecast 2027
10 June 2020, Cole of Duty

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1 July 2020, 3rd Watch News

June 2020 Global Enterprise Semantic Search Software Coronavirus Impact Editon of COVID 19 Impact Analysis Updated Edition Top Players Include, SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle
21 June 2020, Galus Australis

Enterprise Search Software Market Size and Forecast from 2020-2026|Swiftype,Algolia,Elasticsearch,Apache Solr
16 June 2020, Cole of Duty

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

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