Platform Comparison - Google App Engine vs AWS Lambda vs Azure Functions
Are you considering which platform to use for your cloud billing and cost management? Look no further, as we compare the three most popular cloud services providers in this blog post: Google App Engine, AWS Lambda, and Azure Functions.
Google App Engine
Google App Engine is a platform that specializes in hosting and developing web applications in the cloud. It offers a serverless infrastructure and automatically scales applications based on traffic.
Pricing
Google App Engine follows a pay-as-you-go model in which you only pay for the resources your application uses. The pricing varies depending on the resources used, but the basic pricing structure is as follows:
- Compute engine: $0.05/hour
- Memory: $0.000008/hour per GB
- Storage: $0.026/GB per month
AWS Lambda
AWS Lambda is a serverless computing platform that allows developers to run code without provisioning or managing servers. It supports various programming languages and integrates with other AWS services.
Pricing
AWS Lambda pricing is based on the number of requests, duration of requests, and memory used by the function. The basic pricing structure is as follows:
- $0.20 per 1 million requests
- $0.00001667 for every GB-second of compute time
- $0.00000208 for every GB of memory used per hour
Azure Functions
Azure Functions is a serverless computing platform that enables developers to run event-driven functions without managing infrastructure. It supports multiple languages and integrates with other Azure services.
Pricing
Azure Functions pricing is based on the number of executions, execution time, and memory usage. The basic pricing structure is:
- The first 1 million executions per month are free
- $0.20 per 1 million executions after that
- $0.000016 for every GB-second of compute time
- $0.000016 for every GB of memory used per hour
Comparison
Now, let's compare the three platforms side by side:
| Platform | Compute Engine | Memory | Storage | Executions | Compute Time | Memory Usage |
|---|---|---|---|---|---|---|
| GAE | $0.05/hour | $0.000008/hour per GB | $0.026/GB per month | N/A | N/A | N/A |
| AWS | N/A | $0.00000208 per GB/hour | N/A | $0.20 per 1 million requests | $0.0000167 per GB-second | $0.00000208 per GB/hour |
| Azure | N/A | $0.000016 per GB/hour | N/A | The first 1 million executions per month are free, then $0.20 per 1 million executions | $0.000016 per GB-second | $0.000016 per GB/hour |
As seen in the above table, Google App Engine has a clear pricing structure compared to AWS Lambda and Azure Functions. AWS Lambda and Azure Functions have different pricing structures for compute time and memory usage, and they follow a pay-as-you-go model. Azure Functions offers a free tier for the first 1 million executions per month.
If your application requires a lot of memory usage, then Google App Engine offers the most cost-effective solution. If you have a low amount of executions per month, then Azure Functions might be the best choice. Finally, if you're already using AWS services and want to stick to the same provider, AWS Lambda is the way to go.
Conclusion
Choosing between Google App Engine, AWS Lambda, and Azure Functions can depend on the specific needs of your application. However, we hope that this comparison has provided a framework for understanding the pricing structures of these platforms.