Azure Database for MySQL

Azure Database for MySQL is a fully managed relational database service based on the open-source MySQL database engine, provided by Microsoft Azure. It offers automated management of infrastructure, patching, backups, and high availability, allowing developers to focus on application development rather than database administration. The service supports various deployment options including single server and flexible server, with built-in security, monitoring, and scalability features.

Also known as: Azure MySQL, Azure MySQL Database, MySQL on Azure, Azure DB for MySQL, Azure MySQL Managed Service
🧊Why learn Azure Database for MySQL?

Developers should use Azure Database for MySQL when building cloud-native applications on Azure that require a reliable, scalable, and managed MySQL database, such as web apps, e-commerce platforms, or content management systems. It is ideal for scenarios where minimizing operational overhead is crucial, as it handles tasks like backups, updates, and disaster recovery automatically, and integrates seamlessly with other Azure services like App Service and Azure Functions for streamlined development.

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Always On Availability Groups
Always On Availability Groups is a high-availability and disaster recovery solution in Microsoft SQL Server that provides database-level failover for groups of databases. It allows multiple copies of a set of databases (availability replicas) to be maintained across different servers, ensuring data redundancy and automatic failover in case of primary server failure. This feature supports both synchronous and asynchronous data replication modes to balance performance and data protection needs.
Amazon Aurora
Amazon Aurora is a fully managed, MySQL and PostgreSQL-compatible relational database service built for the cloud. It combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases, offering up to five times the throughput of standard MySQL and three times that of PostgreSQL. Aurora automatically handles tasks like hardware provisioning, database setup, patching, backups, and replication, while providing high durability and availability through distributed, fault-tolerant, self-healing storage.
Amazon Aurora Provisioned
Amazon Aurora Provisioned is a fully managed relational database service from AWS that offers high performance, scalability, and availability with MySQL and PostgreSQL compatibility. It uses a distributed, fault-tolerant storage system that automatically scales up to 128 TB per database instance, providing fast read replicas and continuous backup to Amazon S3. This provisioned model requires users to pre-allocate and pay for database instance capacity, making it suitable for predictable workloads.
Amazon Aurora Serverless
Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.
Amazon Aurora Serverless
Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It supports key-value and document data models, automatically replicates data across multiple Availability Zones for high availability and durability, and provides built-in security, backup, and in-memory caching capabilities.