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DBMS > Amazon CloudSearch vs. Firebase Realtime Database vs. Prometheus vs. Yanza

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database vs. Prometheus vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPrometheus  Xexclude from comparisonYanza  Xexclude from comparison
Yanza 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 cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Open-source Time Series DBMS and monitoring systemTime Series DBMS for IoT Applications
Primary database modelSearch engineDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score14.29
Rank#39  Overall
#6  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databaseprometheus.ioyanza.com
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databaseprometheus.io/­docs
DeveloperAmazonGoogle infoacquired by Google 2014Yanza
Initial release2012201220152015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedhostedLinux
Windows
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesyes infoall search fields are automatically indexedyesnono
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nono
TriggersnoCallbacks are triggered when data changesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 signaturesyes, based on authentication and database rulesnono

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More resources
Amazon CloudSearchFirebase Realtime DatabasePrometheusYanza
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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

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