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AWS Lambda vs Google Cloud Functions

October 10, 2022

AWS Lambda vs Google Cloud Functions

When it comes to serverless computing solutions, AWS Lambda and Google Cloud Functions are two of the most popular choices among developers. While both provide similar features, there are some differences between the two that make them stand out in their own way. In this post, we'll compare the two and help you decide which one is more suitable for you.

Pricing

Cost is an essential factor to consider when choosing a cloud application, and both AWS Lambda and Google Cloud Functions offer different pricing models, making it difficult to compare them. Still, we can provide you with some approximate numbers.

For starters, AWS Lambda pricing is based on the number of executions, the duration of those executions, and the amount of memory used. Currently, AWS Lambda offers a free tier option, where you can execute up to one million requests per month and get 400,000 GB-seconds of compute time per month. After that, the pricing starts at $0.20 per 1 million requests, and $0.00001667 for every GB-second of compute time.

On the other hand, Google Cloud Functions offer a free tier option as well, where you can use up to 2 million invocations per month, 400,000 GB-seconds of compute time per month, and 200,000 GHz-seconds of computing time per month. After that, Google charges $0.40 per 1 million invocations, and $0.0000025 for every GB-second of compute time.

Performance

Both AWS Lambda and Google Cloud Functions offer high-performance computing solutions for developers. In terms of speed, both are quite similar and ensure a reliable runtime environment with sufficient resources. However, there are some differences to consider.

AWS Lambda allows developers to configure their functions to use up to 10GB of memory and CPU capabilities of up to 6 vCPUs. On the other hand, Google Cloud Functions provide support for more languages, which means more flexibility for developers. Moreover, Google Cloud Functions have a faster start-up time, making them more suitable for short-lived functions that have a low rate of concurrency.

Integrations

When it comes to integration capabilities, both AWS Lambda and Google Cloud Functions offer a broad range of integration options to developers. AWS Lambda integrates with various Amazon Web Services (AWS) services such as DynamoDB, Kinesis, SNS, and many more. Similarly, Google Cloud Functions integrates with various Google Cloud Platform services, including Cloud Pub/Sub, Cloud Storage, and Cloud Firestore.

Moreover, both AWS Lambda and Google Cloud Functions offer support for APIs and webhooks. Developers can integrate their functions with popular third-party services, including Slack, Twilio, and GitHub.

Conclusion

In conclusion, AWS Lambda and Google Cloud Functions are both great serverless computing solutions, and choosing between the two depends on your specific use case. AWS Lambda is more suitable for long-running functions and provides more in-depth customization options. On the other hand, Google Cloud Functions offer faster start-up times and more language support. Therefore, we recommend that you evaluate your requirements and consider the advantages and limitations of both before making a final decision.

References

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