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

Amazon RDS vs Azure Database for MySQL

OverviewDecisionsComparisonAlternatives

Overview

Amazon RDS
Amazon RDS
Stacks16.1K
Followers10.8K
Votes761
Azure Database for MySQL
Azure Database for MySQL
Stacks41
Followers107
Votes0

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

# Introduction
This Markdown code provides a comparison between Amazon RDS and Azure Database for MySQL focusing on the key differences between the two database services.

1. **Storage Options**: Amazon RDS offers a variety of storage options, including General Purpose SSD, Provisioned IOPS, and Magnetic storage, giving users flexibility based on their performance and cost requirements. In contrast, Azure Database for MySQL primarily provides General Purpose SSD storage, limiting the storage options available to users.
   
2. **Pricing Models**: Amazon RDS offers various pricing models such as On-Demand Instances, Reserved Instances, and Spot Instances, allowing users to choose a pricing model that best suits their budget and usage. On the other hand, Azure Database for MySQL has a more simplified pricing model, with options like General Purpose and Memory-Optimized which can make pricing decisions easier for users.

3. **Global Coverage**: Amazon RDS has a broader global coverage with multiple availability zones in different regions worldwide, providing users with more options to distribute their databases for improved availability and performance. Meanwhile, Azure Database for MySQL has fewer regions compared to Amazon RDS, which may limit users in terms of global coverage and availability options.

4. **Backup and Restore**: Amazon RDS offers automated backups and point-in-time restore features as part of its service, making it easier for users to protect and recover their databases from accidental data loss. In contrast, Azure Database for MySQL also provides automated backups but lacks point-in-time restore capabilities, which may be a crucial feature for some users.

5. **Monitoring and Management Tools**: Amazon RDS comes with a comprehensive set of monitoring and management tools, such as Amazon CloudWatch, Performance Insights, and RDS Enhanced Monitoring, offering users detailed insights into their database performance and health. Azure Database for MySQL provides Azure Monitor for monitoring, but it may not offer the same level of depth and customization as the tools available in Amazon RDS.

6. **Integration with Other Services**: Amazon RDS integrates seamlessly with other AWS services like AWS Lambda, Amazon S3, and Amazon Redshift, allowing users to build complex and scalable applications within the AWS ecosystem. In comparison, Azure Database for MySQL offers integration with Azure services like Azure Functions and Azure Data Factory, providing users with options to build solutions within the Azure platform.

In Summary, the key differences between Amazon RDS and Azure Database for MySQL lie in storage options, pricing models, global coverage, backup and restore features, monitoring and management tools, and integration with other services.

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Advice on Amazon RDS, Azure Database for MySQL

Phillip
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

29.3k views29.3k
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Detailed Comparison

Amazon RDS
Amazon RDS
Azure Database for MySQL
Azure Database for MySQL

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.

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.

Pre-configured Parameters;Monitoring and Metrics;Automatic Software Patching;Automated Backups;DB Snapshots;DB Event Notifications;Multi-Availability Zone (Multi-AZ) Deployments;Provisioned IOPS;Push-Button Scaling;Automatic Host Replacement;Replication;Isolation and Security
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
16.1K
Stacks
41
Followers
10.8K
Followers
107
Votes
761
Votes
0
Pros & Cons
Pros
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
No community feedback yet
Integrations
No integrations available
Microsoft Azure
Microsoft Azure

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

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.

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.

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.

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.

PlanetScaleDB

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

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

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

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

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.

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