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DBMS > Amazon Aurora vs. CouchDB vs. Firebase Realtime Database vs. Splice Machine

System Properties Comparison Amazon Aurora vs. CouchDB vs. Firebase Realtime Database vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­rds/­auroracouchdb.apache.orgfirebase.google.com/­products/­realtime-databasesplicemachine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasesplicemachine.com/­how-it-works
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Splice Machine
Initial release2015200520122014
Current release3.3.3, December 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptlimited functionality with using 'rules'yes infoJava
TriggersyesyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoimproved architecture with release 2.0Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseyes, based on authentication and database rulesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon AuroraCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabaseSplice Machine
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