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DBMS > Amazon Aurora vs. Cloudflare Workers KV vs. FatDB vs. Postgres-XL vs. PouchDB

System Properties Comparison Amazon Aurora vs. Cloudflare Workers KV vs. FatDB vs. Postgres-XL vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFatDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value storeDocument store
Key-value store
Relational DBMSDocument store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­rds/­aurorawww.cloudflare.com/­developer-platform/­workers-kvwww.postgres-xl.orgpouchdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldevelopers.cloudflare.com/­kv/­apiwww.postgres-xl.org/­documentationpouchdb.com/­guides
DeveloperAmazonCloudflareFatCloudApache Software Foundation
Initial release2015201820122014 infosince 2012, originally named StormDB2012
Current release10 R1, October 20187.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla public licenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#CJavaScript
Server operating systemshostedhostedWindowsLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.yesnoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyesyes infovia views
SQL infoSupport of SQLyesnono infoVia inetgration in SQL Serveryes infodistributed, parallel query executionno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Proprietary protocol
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript 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
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresyesnoyes infovia applicationsuser defined functionsView functions in JavaScript
Triggersyesnoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardno

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More resources
Amazon AuroraCloudflare Workers KVFatDBPostgres-XLPouchDB
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