Overview

Amazon RDS for PostgreSQL

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Azure Database for PostgreSQL

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Amazon RDS for PostgreSQL vs Azure Database for PostgreSQL: What are the differences?

Key Differences between Amazon RDS for PostgreSQL and Azure Database for PostgreSQL

Database Availability Zone: One key difference between Amazon RDS for PostgreSQL and Azure Database for PostgreSQL is the concept of Database Availability Zones. Amazon RDS allows for the deployment of database instances in multiple Availability Zones for enhanced availability and fault tolerance. Azure Database, on the other hand, does not have an equivalent concept of Availability Zones and relies on its underlying infrastructure for high availability.
Pricing Models: Another key difference lies in the pricing models offered by the two cloud providers. Amazon RDS offers both on-demand and reserved pricing options, allowing users to choose between flexibility and cost savings. Azure Database, however, primarily follows a consumption-based pricing model, where users pay for the resources they use without the need for long-term commitments.
Managed Backups and Maintenance: Amazon RDS provides automated backups and handles routine maintenance tasks, such as applying patches and security updates, for PostgreSQL databases. Azure Database, on the other hand, offers similar managed backup capabilities, but users are responsible for applying patches and updates themselves.
Performance Monitoring and Optimization: In terms of performance monitoring and optimization, Amazon RDS provides a variety of metrics and monitoring tools that can help users identify and resolve performance issues. Azure Database also offers performance monitoring capabilities, but the range of available metrics and tools may vary.
Integration with Other Cloud Services: Amazon RDS for PostgreSQL integrates seamlessly with a wide range of other AWS services, such as Amazon S3 for backups and AWS Identity and Access Management (IAM) for access control. Azure Database for PostgreSQL similarly integrates with various Azure services, including Azure Storage and Azure Active Directory.
Geographic Availability: Both Amazon RDS for PostgreSQL and Azure Database for PostgreSQL are available in multiple geographic regions. However, the specific regions and availability may differ between the two providers. Users should consider the availability and proximity of data centers when selecting a cloud provider for their PostgreSQL databases.

In summary, the key differences between Amazon RDS for PostgreSQL and Azure Database for PostgreSQL include the availability of Database Availability Zones, differences in pricing models, managed backups and maintenance responsibilities, performance monitoring and optimization capabilities, integration with other cloud services, and geographic availability.

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Advice on Amazon RDS for PostgreSQL, Azure Database for PostgreSQL

Lonnie

CEO - Co-founder US, Mexico Binational Tech Start-up Accelerator, Incubator at Framework Science

May 9, 2019

Reviewon

Amazon DynamoDB

Amazon RDS for PostgreSQL

We use Amazon RDS for PostgreSQL because RDS and Amazon DynamoDB are two distinct database systems. DynamoDB is NoSQL DB whereas RDS is a relational database on the cloud. The pricing will mainly differ in the type of application you are using and your requirements. For some applications, both DynamoDB and RDS, can serve well, for some it might not. I do not think DynamoDB is cheaper. Right now we are helping Companies in Silicon Valley and in Southern California go SERVERLESS - drastically lowering costs if you are interested in hearing how we go about it.

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Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

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Detailed Comparison

Amazon RDS for PostgreSQL	Azure Database for PostgreSQL
Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.	Azure Database for PostgreSQL provides a managed database service for app development and deployment that allows you to stand up a PostgreSQL database in minutes and scale on the fly – on the cloud you trust most.
Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.;DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.;Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.;Automated Backups – Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance.;DB Snapshots – DB Snapshots are user-initiated backups of your DB Instance.;Pre-configured Parameters – Amazon RDS for PostgreSQL deployments are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected.;PostGIS;Language Extensions :PL/Perl, PL/pgSQL, PL/Tcl;Full Text Search Dictionaries;Advanced Data Types : HStore, JSON;Core PostgreSQL engine features	-
Statistics
Stacks 812	Stacks 56
Followers 607	Followers 103
Votes 40	Votes 0
Pros & Cons
Pros 25 Easy setup, backup, monitoring 13 Geospatial support 2 Master-master replication using Multi-AZ instance	No community feedback yet
Integrations
No integrations available	Microsoft Azure

What are some alternatives to Amazon RDS for PostgreSQL, Azure Database for PostgreSQL?

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

ElephantSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

Database Labs

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Google Cloud SQL for PostgreSQL

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

Neon Database

It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.

Amazon Aurora PostgreSQL

It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases.

Crunchy Bridge

It is a fully-managed database as a service. It takes care of backups, high availability, monitoring. Additionally, it is multi-cloud supporting AWS and Azure and comes with PL/Python3u and PL/R for more powerful work.

Vercel Postgres

It enables you to create scalable, secure PostgreSQL databases. You should use Vercel Postgres if you need to manage customer profiles, user-generated content, financial transaction processing, or other complex data.

PaaS DB PostgreSQL

A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.