Amazon RDS for Aurora vs Serverless: 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; Serverless: The most widely-adopted toolkit for building serverless applications. Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Amazon RDS for Aurora and Serverless are primarily classified as "SQL Database as a Service" and "Serverless / Task Processing" tools respectively.
"MySQL compatibility " is the primary reason why developers consider Amazon RDS for Aurora over the competitors, whereas "API integration " was stated as the key factor in picking Serverless.
Serverless is an open source tool with 30.9K GitHub stars and 3.43K GitHub forks. Here's a link to Serverless's open source repository on GitHub.
According to the StackShare community, Serverless has a broader approval, being mentioned in 117 company stacks & 44 developers stacks; compared to Amazon RDS for Aurora, which is listed in 121 company stacks and 31 developer stacks.
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