DBMS > Amazon Aurora vs. PostgreSQL vs. SAP SQL Anywhere

System Properties Comparison Amazon Aurora vs. PostgreSQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines

Name

Description

MySQL and PostgreSQL compatible cloud service by Amazon

Widely used open source RDBMS

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

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

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.

Relational DBMS

Secondary database models

Document store

Document store
Spatial DBMS

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

Score	10.07
Rank	#48	Overall
	#30	Relational DBMS

Score	613.83
Rank	#4	Overall
	#4	Relational DBMS

Score	5.80
Rank	#73	Overall
	#40	Relational DBMS

Website

aws.amazon.com/rds/aurora

www.postgresql.org

www.sap.com/products/sql-anywhere.html

Technical documentation

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

www.postgresql.org/docs

help.sap.com/sql-anywhere

Developer

Amazon

PostgreSQL Global Development Group

www.postgresql.org/developer

SAP

formerly Sybase

Initial release

2015

1989

1989: Postgres, 1996: PostgreSQL

1992

Current release

15.2, February 2023

17, July 2015

License

Commercial or Open Source

commercial

Open Source

BSD

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ScaleGrid for PostgreSQL: Fully managed PostgreSQL DBaaS hosting On-Premises and on clouds such as AWS, Azure, GCP and DigitalOcean with no vendor lock-in. Leverage any extension and get SSH access.
Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.

Implementation language

Server operating systems

hosted

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

AIX
HP-UX
Linux
OS X
Solaris
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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

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

ADO.NET
HTTP API
JDBC
ODBC

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

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions

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

yes, in C/C++, Java, .Net or Perl

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

other methods possible by using 3rd party extensions

Source-replica replication

Database mirroring

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

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

Instaclustr: Fully Hosted & Managed PostgreSQL
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The State of PostgreSQL 2022 survey is now open!
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DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
» more

Percona: Database problems? Not on your watch.
Databases run better with Percona.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

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.
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
» more

Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
» more

Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

Driving the Future of PostgreSQL Adoption
15 November 2021, Umair Shahid, Percona (sponsor)

show all

Conferences and events

more DBMS events

PGCon 2023, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 30 May 2023 - 2 June 2023

Recent citations in the news

Oracle Adds New AI-Enabling Features To MySQL HeatWave
23 March 2023, Forbes

Amazon Aurora PostgreSQL Adds Write-Through Cache to Improve Logical Replication Performance
18 March 2023, InfoQ.com

What is Amazon Aurora? | Definition from TechTarget
21 March 2022, TechTarget

Amazon Aurora cross-region disaster recovery capabilities now available in Asia Pacific (Melbourne) region
23 March 2023, AWS Blog

Amazon Aurora - Market Share, Competitor Insights in Relational Databases
14 March 2023, 6Sense

provided by Google News

From a Fan: On the Ascendance of PostgreSQL
3 March 2023, The New Stack

Amazon Aurora PostgreSQL Adds Write-Through Cache to Improve ...
18 March 2023, InfoQ.com

Google makes AlloyDB for PostgreSQL available in 16 new regions
28 February 2023, InfoWorld

How to Use PostgreSQL With Sequelize in Node.js - MUO
5 March 2023, MakeUseOf

How to Connect PostgreSQL to a Next.js Application Using Prisma - MUO
1 March 2023, MakeUseOf

provided by Google News

SAP SQL Anywhere | RDBMS for IoT and Data-Intensive Apps
29 July 2022, SAP

SAP SQL Anywhere vs Genesis Framework: Build And Deployment Automation Comparison
1 March 2023, 6sense.com

SAP SQL Anywhere - - Connecting to Your Database
13 September 2022, docs.appeon.com

SAP SQL Anywhere | RDBMS for IoT & Data-Intensive Apps | Get Started
30 July 2022, SAP

SAP SQL Anywhere, developer edition Trial
30 July 2022, SAP

provided by Google News

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