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DBMS > Amazon Aurora vs. Cloudflare Workers KV vs. FatDB vs. Netezza vs. Sadas Engine

System Properties Comparison Amazon Aurora vs. Cloudflare Workers KV vs. FatDB vs. Netezza vs. Sadas Engine

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFatDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  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.Data warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value storeDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­netezzawww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldevelopers.cloudflare.com/­kv/­apiwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonCloudflareFatCloudIBMSADAS s.r.l.
Initial release20152018201220002006
Current release8.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infofree trial version available
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#C++
Server operating systemshostedhostedWindowsLinux infoincluded in applianceAIX
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesnono infoVia inetgration in SQL Serveryesyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Proprietary protocol
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
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#C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoyes infovia applicationsyesno
Triggersyesnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon AuroraCloudflare Workers KVFatDBNetezza infoAlso called PureData System for Analytics by IBMSadas Engine
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