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DBMS > Amazon DocumentDB vs. Firebase Realtime Database vs. Yanza

System Properties Comparison Amazon DocumentDB vs. Firebase Realtime Database vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS for IoT Applications
Primary database modelDocument storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#173  Overall
#28  Document stores
Score16.34
Rank#36  Overall
#6  Document stores
Score0.00
Rank#335  Overall
#31  Time Series DBMS
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­realtime-databaseyanza.com
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­database
DeveloperGoogle infoacquired by Google 2014Yanza
Initial release201920122015
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesno 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.
Server operating systemshostedhostedWindows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript
Objective-C
any language that supports HTTP calls
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'no
TriggersnoCallbacks are triggered when data changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesno

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More resources
Amazon DocumentDBFirebase Realtime DatabaseYanza
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