Amazon RDS for Aurora vs Google Cloud SQL: What are the differences?
Amazon RDS for Aurora: MySQL and PostgreSQL compatible relational database with several times better performance. 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; Google Cloud SQL: Store and manage data using a fully-managed, relational MySQL database. MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
Amazon RDS for Aurora and Google Cloud SQL can be categorized as "SQL Database as a Service" tools.
Some of the features offered by Amazon RDS for Aurora are:
- High Throughput with Low Jitter
- Push-button Compute Scaling
- Storage Auto-scaling
On the other hand, Google Cloud SQL provides the following key features:
- Familiar Infrastructure
- Flexible Charging
- Security, Availability, Durability
"MySQL compatibility " is the primary reason why developers consider Amazon RDS for Aurora over the competitors, whereas "Fully managed" was stated as the key factor in picking Google Cloud SQL.
StackShare, GoGuardian, and Akoova are some of the popular companies that use Amazon RDS for Aurora, whereas Google Cloud SQL is used by Implisit, Policygenius, and OTOBANK. Amazon RDS for Aurora has a broader approval, being mentioned in 116 company stacks & 30 developers stacks; compared to Google Cloud SQL, which is listed in 71 company stacks and 28 developer stacks.
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