AWS Lambda vs Azure Functions: Which is the better option?
Are you tired of spending endless hours trying to figure out which of the two is the better option for your cloud services? Do you often find yourself stuck in a dilemma while choosing between AWS Lambda and Azure Functions? Well, you're not alone.
In this blog post, we'll provide an unbiased comparison of AWS Lambda versus Azure Functions. We will be comparing these two in various aspects, including pricing, platform support, scalability, and ease of use.
Pricing
Pricing is a crucial consideration when comparing AWS Lambda versus Azure Functions. Both platforms offer pay-as-you-go pricing models, which means you only have to pay for the resources you use.
AWS Lambda offers a free tier that includes one million requests and 400,000 GB-seconds of compute time per month. After that, the pricing is calculated based on the number of requests and the duration of function execution. The pricing starts at $0.20 per 1 million requests per month, with the first 1 million requests being free.
Azure Functions, on the other hand, also offers a free tier that includes one million requests and 400,000 GB-seconds of compute time per month, just like Lambda. However, Azure Functions charges per-execution and per-second, with a minimum of 100ms per execution.
While both platforms are reasonably priced and have almost the same offerings, AWS Lambda has lower pricing for most use cases.
Platform Support
When it comes to platform support, AWS Lambda and Azure Functions have different approaches. AWS Lambda supports only two programming languages: Node.js and Python, whereas Azure Functions supports more languages like JavaScript, C#, Python, F#, PowerShell, and Java.
AWS Lambda also has better integration with other Amazon services, like Amazon S3, Amazon DynamoDB, Amazon Kinesis, AWS Step Functions, and Amazon SQS. On the other hand, Azure Functions has integration with most popular Azure services like Azure blob storage, Azure Cosmos DB, and Azure Event Hubs.
Scalability
Scalability is one of the essential factors when considering cloud services. Both AWS Lambda and Azure Functions are designed to handle virtually limitless concurrent requests. However, the method each platform uses for scaling is different.
AWS Lambda uses a concurrent execution model and can scale horizontally to thousands of instances per region. On the other hand, Azure Functions use an app service plan-based scaling model, allowing you to scale up to ten instances in the consumption plan.
Ease of Use
When it comes to ease of use, both platforms are relatively easy to use. AWS Lambda has an intuitive and straightforward user interface that allows you to upload and manage functions quickly. Azure Functions also provides a friendly user interface, and you can create and deploy functions to Azure quickly.
Conclusion
In conclusion, both AWS Lambda and Azure Functions have their pros and cons, and choosing the right one depends on your particular use case. However, based on pricing, platform support, scalability, and ease of use, AWS Lambda has a slight edge over Azure Functions.
We hope this blog post helped you choose the right cloud service for your needs. Feel free to contact us if you need more consultation before making a decision.
References
Here are some references that we used while researching this topic.