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Azure Database for MySQL vs Google Cloud SQL: What are the differences?
<Write Introduction here>
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.
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.
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.
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.
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.
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.
Pros of Azure Database for MySQL
Pros of Google Cloud SQL
- Fully managed13
- Backed by Google10
- SQL10
- Flexible4
- Encryption at rest and transit3
- Automatic Software Patching3
- Replication across multiple zone by default3