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

Azure Database for MySQL vs Google Cloud SQL

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
Azure Database for MySQL
Azure Database for MySQL
Stacks41
Followers107
Votes0

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

<Write Introduction here>
  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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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
Azure Database for MySQL
Azure Database for MySQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

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.

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
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
555
Stacks
41
Followers
580
Followers
107
Votes
46
Votes
0
Pros & Cons
Pros
  • 13
    Fully managed
  • 10
    SQL
  • 10
    Backed by Google
  • 4
    Flexible
  • 3
    Encryption at rest and transit
No community feedback yet
Integrations
No integrations available
Microsoft Azure
Microsoft Azure

What are some alternatives to Google Cloud SQL, Azure Database for MySQL?

Amazon RDS

Amazon RDS

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.

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.

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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