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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. Azure Database for MySQL vs Azure Database for PostgreSQL

Azure Database for MySQL vs Azure Database for PostgreSQL

OverviewComparisonAlternatives

Overview

Azure Database for MySQL
Azure Database for MySQL
Stacks41
Followers107
Votes0
Azure Database for PostgreSQL
Azure Database for PostgreSQL
Stacks56
Followers103
Votes0

Azure Database for MySQL vs Azure Database for PostgreSQL: What are the differences?

Introduction

Azure Database for MySQL and Azure Database for PostgreSQL are both managed database services offered by Microsoft Azure. While both services provide benefits and functionalities for their respective database types, there are key differences that set them apart from each other. In this article, we will explore and compare these differences.

  1. Data Structure: Azure Database for MySQL is designed to be fully compatible with MySQL, a popular open-source relational database management system. It supports features such as primary keys, foreign keys, and stored procedures. On the other hand, Azure Database for PostgreSQL is built to be fully compatible with PostgreSQL, another popular open-source relational database management system. It includes features like table inheritance, complex data types, and support for multiple indexing methods.

  2. Language Support: Azure Database for MySQL primarily supports SQL as its query language, allowing users to interact with the database using standard SQL queries. In contrast, Azure Database for PostgreSQL supports SQL as well as the rich and powerful procedural language, PL/pgSQL. This allows users to define functions, triggers, and stored procedures within the database.

  3. Geographic Availability: Both Azure Database for MySQL and Azure Database for PostgreSQL are available in multiple regions across the globe. However, the availability of specific regions may vary between the two services. It is important to check the Azure documentation to determine which regions are supported for each service.

  4. Performance and Scalability: Azure Database for MySQL and Azure Database for PostgreSQL offer similar performance and scalability capabilities. Both services use Azure's underlying infrastructure to provide high availability, automatic backups, and automated patching. However, the performance and scalability of each service may vary depending on the specific workload and configurations.

  5. Cost: The pricing models for Azure Database for MySQL and Azure Database for PostgreSQL are similar, but there may be slight differences in pricing tiers and options. It is important to review the Azure pricing documentation to understand the specific costs associated with each service.

  6. Ecosystem Integration: Azure Database for MySQL and Azure Database for PostgreSQL can integrate with other Azure services and tools seamlessly. Both services can be used with Azure Monitor for monitoring, Azure Security Center for security, and Azure Automation for managing backups and maintenance tasks. Additionally, Azure Database for MySQL and Azure Database for PostgreSQL can both integrate with Azure Virtual Network for secure network connectivity.

In Summary, Azure Database for MySQL and Azure Database for PostgreSQL differ in terms of data structure, language support, geographic availability, performance and scalability, cost, and ecosystem integration.

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Detailed Comparison

Azure Database for MySQL
Azure Database for MySQL
Azure Database for PostgreSQL
Azure Database for PostgreSQL

Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.

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.

Fully managed database based on the latest community editions; Optimize your database availability with a 99.99-percent SLA; Scale your reach and performance with built-in AI; Simplified developer experience through tight integration with Azure services
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Statistics
Stacks
41
Stacks
56
Followers
107
Followers
103
Votes
0
Votes
0
Integrations
Microsoft Azure
Microsoft Azure
Microsoft Azure
Microsoft Azure

What are some alternatives to Azure Database for MySQL, Azure Database for PostgreSQL?

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Amazon Aurora

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Google Cloud SQL

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

Amazon RDS for PostgreSQL

Amazon RDS 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.

Heroku Postgres

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.

ClearDB

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

ElephantSQL

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.

Azure SQL Database

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Database Labs

Database Labs

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

Cloud DB for Mysql

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

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