Amazon RDS for Aurora vs Azure Database for MySQL

Overview

Amazon Aurora

Stacks807

Followers745

Votes55

Azure Database for MySQL

Stacks41

Followers107

Votes0

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

Introduction

This article provides a comparison between Amazon RDS for Aurora and Azure Database for MySQL. Both are fully managed database services that offer high reliability and availability. Let's explore the key differences between these two services.

Performance and Scalability: Amazon RDS for Aurora provides a highly scalable and performant database engine optimized for the cloud. It uses an SSD-based storage system and supports read replicas, enabling horizontal scalability. On the other hand, Azure Database for MySQL offers vertical scalability by allowing users to increase computing and storage resources of their databases. It doesn't support read replicas natively.
Storage and Durability: Amazon RDS for Aurora employs a distributed and fault-tolerant storage system that replicates six copies of your data across three Availability Zones. It automatically handles backups and recovers data from failures. Azure Database for MySQL offers a similar storage mechanism, replicating data within a region with options for automated backups and restore points.
Compatibility and Portability: Aurora is compatible with MySQL, which makes it easier to migrate existing MySQL applications to Aurora. It supports MySQL connectors, APIs, and tools. In comparison, Azure Database for MySQL is also compatible with MySQL and provides connectors and tools for seamless migration.
Monitoring and Management: Amazon RDS for Aurora offers detailed monitoring metrics through Amazon CloudWatch and provides automated backups, software patching, and hardware upgrades. It also supports automated scaling. Azure Database for MySQL also provides monitoring metrics through Azure Monitor and offers automated backups. It supports automatic tuning, enabling performance optimizations.
Pricing and Cost Models: Aurora offers different pricing models, including on-demand and reserved instances, which allow users to choose the most cost-effective option. It also provides a free tier for light workloads. Azure Database for MySQL offers similar pricing models, including pay-as-you-go and reserved instances, with a free tier for exploration and development.
Ecosystem and Integration: Amazon RDS for Aurora is part of the larger AWS ecosystem, allowing easy integration with other AWS services. It provides features such as AWS Identity and Access Management (IAM) for secure access control and AWS Database Migration Service (DMS) for database migration. Azure Database for MySQL is part of the Azure ecosystem, providing seamless integration with other Azure services like Azure Active Directory and Azure Backup.

In summary, Amazon RDS for Aurora and Azure Database for MySQL differ in terms of scalability, storage mechanism, compatibility, monitoring capabilities, pricing models, and ecosystem integration. Each service has its own strengths and fits different use cases, so it's essential to evaluate your specific requirements before making a decision.

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Advice on Amazon Aurora, Azure Database for MySQL

Phillip

Developer at Coach Align

Mar 18, 2021

Decided

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Detailed Comparison

Amazon Aurora	Azure Database for MySQL
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.	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.
High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics	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
Statistics
Stacks 807	Stacks 41
Followers 745	Followers 107
Votes 55	Votes 0
Pros & Cons
Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema	No community feedback yet
Integrations
PostgreSQL MySQL	Microsoft Azure

What are some alternatives to Amazon Aurora, Azure Database for MySQL?

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.

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.

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.

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.

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.

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

Amazon Aurora Serverless

It is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database on AWS without managing database capacity.

Related Comparisons

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

Introduction

Performance and Scalability: Amazon RDS for Aurora provides a highly scalable and performant database engine optimized for the cloud. It uses an SSD-based storage system and supports read replicas, enabling horizontal scalability. On the other hand, Azure Database for MySQL offers vertical scalability by allowing users to increase computing and storage resources of their databases. It doesn't support read replicas natively.
Storage and Durability: Amazon RDS for Aurora employs a distributed and fault-tolerant storage system that replicates six copies of your data across three Availability Zones. It automatically handles backups and recovers data from failures. Azure Database for MySQL offers a similar storage mechanism, replicating data within a region with options for automated backups and restore points.
Compatibility and Portability: Aurora is compatible with MySQL, which makes it easier to migrate existing MySQL applications to Aurora. It supports MySQL connectors, APIs, and tools. In comparison, Azure Database for MySQL is also compatible with MySQL and provides connectors and tools for seamless migration.
Monitoring and Management: Amazon RDS for Aurora offers detailed monitoring metrics through Amazon CloudWatch and provides automated backups, software patching, and hardware upgrades. It also supports automated scaling. Azure Database for MySQL also provides monitoring metrics through Azure Monitor and offers automated backups. It supports automatic tuning, enabling performance optimizations.
Pricing and Cost Models: Aurora offers different pricing models, including on-demand and reserved instances, which allow users to choose the most cost-effective option. It also provides a free tier for light workloads. Azure Database for MySQL offers similar pricing models, including pay-as-you-go and reserved instances, with a free tier for exploration and development.
Ecosystem and Integration: Amazon RDS for Aurora is part of the larger AWS ecosystem, allowing easy integration with other AWS services. It provides features such as AWS Identity and Access Management (IAM) for secure access control and AWS Database Migration Service (DMS) for database migration. Azure Database for MySQL is part of the Azure ecosystem, providing seamless integration with other Azure services like Azure Active Directory and Azure Backup.

Amazon RDS for Aurora vs Azure Database for MySQL

Overview

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