DBMS > Amazon Aurora vs. Amazon Redshift vs. PostgreSQL

System Properties Comparison Amazon Aurora vs. Amazon Redshift vs. PostgreSQL

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Editorial information provided by DB-Engines

Name

Description

MySQL and PostgreSQL compatible cloud service by Amazon

Large scale data warehouse service for use with business intelligence tools

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store

Document store
Graph DBMS

with Apache Age
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	9.79
Rank	#50	Overall
	#32	Relational DBMS

Score	19.80
Rank	#36	Overall
	#22	Relational DBMS

Score	612.82
Rank	#4	Overall
	#4	Relational DBMS

Website

aws.amazon.com/rds/aurora

aws.amazon.com/redshift

www.postgresql.org

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

docs.aws.amazon.com/redshift

www.postgresql.org/docs

Developer

Amazon

Amazon (based on PostgreSQL)

PostgreSQL Global Development Group

www.postgresql.org/developer

Initial release

2015

2012

1989

1989: Postgres, 1996: PostgreSQL

Current release

15.3, May 2023

License

Commercial or Open Source

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

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Implementation language

Server operating systems

hosted

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

standard with numerous extensions

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

Ada
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/ODBC

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

yes

user defined functions

in Python

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

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Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
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SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

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Recent citations in the news

AWS Announces Amazon Aurora I/O-Optimized
6 June 2023, e3zine.com

Amazon Aurora vs. Redshift: What You Need to Know
25 May 2023, The New Stack

AWS-Announces-Amazon-Aurora-IO-Optimized
11 May 2023, Amazon Press Release

AWS launches Amazon Aurora I/O-Optimized to lower users’ database costs
12 May 2023, SiliconANGLE News

AWS announces new version of Aurora database that strips out I/O costs
12 May 2023, TechCrunch

provided by Google News

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6 June 2023, AWS Blog

Amazon Redshift: The Definitive Guide - by Rajesh Francis & Rajiv Gupta & Milind Oke (Paperback)
6 June 2023, target.com

Peloton embraces Amazon Redshift to unlock the power of data during changing times | Amazon Web Services
17 May 2023, AWS Blog

Amazon Redshift announces support for auto-commit statements in stored procedure
23 May 2023, AWS Blog

provided by Google News

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5 June 2023, InfoWorld

PostgreSQL 16 advances query parallelism
26 May 2023, InfoWorld

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31 May 2023, The New Stack

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10 May 2023, The Register

provided by Google News

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