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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. DataFS vs. Firebase Realtime Database

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. DataFS vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelDocument storeRelational DBMSObject oriented DBMSDocument store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgnewdatabase.comfirebase.google.com/­products/­realtime-database
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­database
DeveloperApache Software FoundationMobiland AGGoogle infoacquired by Google 2014
Initial release2019201420182012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
Unix
Windows
Windowshosted
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnouser defined functionslimited functionality with using 'rules'
Triggersnonono, except callback-events from server when changes happenedCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingProprietary Sharding system
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-Profileyes, based on authentication and database rules

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More resources
Amazon DocumentDBApache PhoenixDataFSFirebase Realtime Database
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