Azure Database for MySQL vs Google Cloud SQL

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Azure Database for MySQL

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Google Cloud SQL

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

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  1. Storage Option: Azure Database for MySQL offers storage options such as general-purpose and memory-optimized tiers for better performance and scalability. In contrast, Google Cloud SQL provides storage options based on Solid-State Drives (SSD) only, offering high-performance storage with costs varying with storage size.

  2. Pricing Model: Azure Database for MySQL offers a flexible pricing model based on the resources consumed, including options for auto-scaling and serverless configurations. On the other hand, Google Cloud SQL follows a predictable pricing model based on the type and size of the instance chosen, with additional fees for features like high availability and automatic backups.

  3. High Availability: Azure Database for MySQL offers high availability with automated backups, automated patching, and geo-replication across multiple data centers. In comparison, Google Cloud SQL provides high availability with an automatic failover feature, but lacks cross-region replicas for enhanced disaster recovery.

  4. Compatibility: Azure Database for MySQL supports MySQL community and enterprise editions, along with tools like MySQL Workbench and phpMyAdmin for database management. In contrast, Google Cloud SQL fully managed service supports MySQL and PostgreSQL databases with built-in tools for monitoring and performance optimization.

  5. Security Features: Azure Database for MySQL offers advanced security features such as Virtual Network service endpoints, transparent data encryption, and threat detection for improved compliance and data protection. Meanwhile, Google Cloud SQL provides security features like SSL encryption, IAM role-based access control, and Cloud Audit Logs for monitoring and governance.

  6. Integration: Azure Database for MySQL integrates seamlessly with other Azure services like Azure Virtual Machines, Azure Functions, and Azure Active Directory for streamlined application development and access management. On the other hand, Google Cloud SQL integrates with Google Cloud Platform services, Google Kubernetes Engine, and Cloud Functions for building robust and scalable cloud-based applications.

In Summary, Azure Database for MySQL and Google Cloud SQL differ in storage options, pricing models, high availability capabilities, database compatibility, security features, and integration capabilities.
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Pros of Azure Database for MySQL
Pros of Google Cloud SQL
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    • 13
      Fully managed
    • 10
      Backed by Google
    • 10
      SQL
    • 4
      Flexible
    • 3
      Encryption at rest and transit
    • 3
      Automatic Software Patching
    • 3
      Replication across multiple zone by default

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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 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.

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

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    What are some alternatives to Azure Database for MySQL and Google Cloud SQL?
    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.
    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.
    See all alternatives