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DBMS > Amazon Aurora vs. Apache Impala vs. CouchDB vs. Firebase Realtime Database vs. LevelDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. CouchDB vs. Firebase Realtime Database vs. LevelDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSRelational DBMSDocument storeDocument storeKey-value store
Secondary database modelsDocument storeDocument 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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgcouchdb.apache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­google/­leveldb
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Google
Initial release20152013200520122011
Current release4.1.0, June 20223.3.3, December 20231.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++
Server operating systemshostedLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedIllumos
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.yesnononono
Secondary indexesyesyesyes infovia viewsyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnonono
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceView functions in JavaScriptlimited functionality with using 'rules'no
TriggersyesnoyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseyes, based on authentication and database rulesno

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More resources
Amazon AuroraApache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabaseLevelDB
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