Azure Database for MySQL vs Azure SQL Database

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Azure Database for MySQL

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Azure SQL Database

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

Key Differences between Azure Database for MySQL and Azure SQL Database

Azure Database for MySQL and Azure SQL Database are both managed database services provided by Microsoft Azure. While they share similarities, there are several key differences between the two:

  1. Database Engine Compatibility: Azure Database for MySQL provides compatibility with the MySQL database engine, allowing you to leverage existing MySQL skills and tools. On the other hand, Azure SQL Database is based on the Microsoft SQL Server database engine, offering compatibility with SQL Server features and functionality.

  2. Language Support: Azure Database for MySQL supports popular programming languages like PHP, Python, Node.js, and Java, along with client libraries for these languages. Azure SQL Database, on the other hand, supports these programming languages as well as .NET, enabling you to use the languages and frameworks you prefer.

  3. Scalability Options: Azure Database for MySQL supports horizontal scalability through read replicas, allowing you to distribute read traffic across multiple copies of the database. Azure SQL Database offers both horizontal and vertical scalability, with options to scale up or down the resources allocated to your database.

  4. Backup and Restore: Azure Database for MySQL performs automatic backups of your data, allowing you to restore to a specific point in time or restore deleted data. Azure SQL Database offers similar backup and restore capabilities, along with the ability to perform cross-database and cross-server restores.

  5. Security Features: Azure Database for MySQL provides security features like data encryption at rest and in transit, along with firewall rules to control access to your database. Azure SQL Database offers additional security features like advanced threat protection, vulnerability assessments, and dynamic data masking.

  6. Geographical Availability: Azure Database for MySQL is available in multiple Azure regions globally, allowing you to choose the location that best suits your requirements. Azure SQL Database is also available in various regions worldwide, providing flexibility in terms of data residency and compliance.

In summary, Azure Database for MySQL is designed for those who prefer to work with the MySQL database engine and want compatibility with MySQL tools and languages. Azure SQL Database, on the other hand, is ideal for those who require compatibility with the SQL Server database engine and need a wide range of programming languages, scalability options, and security features.

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    What is Azure Database for MySQL?

    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.

    What is 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.

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    What companies use Azure Database for MySQL?
    What companies use Azure SQL Database?
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    What tools integrate with Azure Database for MySQL?
    What tools integrate with Azure SQL Database?

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    What are some alternatives to Azure Database for MySQL and Azure SQL Database?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives