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DBMS > Amazon CloudSearch vs. Firebase Realtime Database

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database

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Our visitors often compare Amazon CloudSearch and Firebase Realtime Database with Elasticsearch, Microsoft Azure Cosmos DB and Google Cloud Datastore.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#93  Overall
#9  Search engines
Score10.85
Rank#41  Overall
#7  Document stores
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-database
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­database
DeveloperAmazonGoogle infoacquired by Google 2014
Initial release20122012
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
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
SQL infoSupport of SQLnono
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as required
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWS
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rules

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More resources
Amazon CloudSearchFirebase Realtime Database
DB-Engines blog posts

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Recent citations in the news

Know Key Area of Enterprise Search Software Market Will Rising in Near Future By Top Key Players SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
20 June 2019, Market Reports

Enterprise Search Software Market has Huge Demand in Worldwide| Profiling Global Players- SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
7 June 2019, Market Research Updates

New study: Enterprise Semantic Search Software Market Key Information by Top Key Players: SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
27 May 2019, The Market Research News

New study: Enterprise Search Software Market to depict huge growth, Key Methodologies, Top Players: SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
5 June 2019, A Technology Market

Top Trending Enterprise Search Software Market | Top Eminent Players like Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, Inbenta
6 June 2019, Global Market Research

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