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DBMS > Amazon Aurora vs. Citus vs. KeyDB vs. RethinkDB

System Properties Comparison Amazon Aurora vs. Citus vs. KeyDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCitus  Xexclude from comparisonKeyDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Secondary database modelsDocument storeDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score2.74
Rank#105  Overall
#19  Document stores
Websiteaws.amazon.com/­rds/­aurorawww.citusdata.comgithub.com/­Snapchat/­KeyDB
keydb.dev
rethinkdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.citusdata.comdocs.keydb.devrethinkdb.com/­docs
DeveloperAmazonEQ Alpha Technology Ltd.The Linux Foundation infosince July 2017
Initial release2015201020192009
Current release8.1, December 20182.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoBSD-3Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infostring, binary, float, bool, date, geometry
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.yesyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsnono
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Lua
TriggersyesyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardsimple password-based access control and ACLyes infousers and table-level permissions

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More resources
Amazon AuroraCitusKeyDBRethinkDB
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