AWS Lambda vs Google Cloud Run: What are the differences?
Developers describe AWS Lambda as "Automatically run code in response to modifications to objects in Amazon S3 buckets, messages in Kinesis streams, or updates in DynamoDB". AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security. On the other hand, Google Cloud Run is detailed as "Run stateless HTTP containers on a fully managed environment or in your own GKE cluster". A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
AWS Lambda and Google Cloud Run belong to "Serverless / Task Processing" category of the tech stack.
Some of the features offered by AWS Lambda are:
- Extend other AWS services with custom logic
- Build custom back-end services
- Completely Automated Administration
On the other hand, Google Cloud Run provides the following key features:
- Simple developer experience
- Fast autoscaling
"No infrastructure" is the primary reason why developers consider AWS Lambda over the competitors, whereas "Pay per use" was stated as the key factor in picking Google Cloud Run.