Serverless Computing Leaders: AWS Lambda vs Google Cloud Functions vs Microsoft Azure Functions

September 20, 2021

Serverless Computing Leaders: AWS Lambda vs Google Cloud Functions vs Microsoft Azure Functions

As serverless computing continues to gain popularity, more companies are adopting it and discovering the benefits it provides. In this blog post, we'll compare three popular serverless computing options: AWS Lambda, Google Cloud Functions, and Microsoft Azure Functions.

AWS Lambda

AWS Lambda was introduced in 2014 and is one of the most widely used serverless computing options. It supports multiple languages, including Node.js, Python, and Java, and it allows developers to build scalable and fault-tolerant applications.

AWS Lambda ensures high availability and redundancy by replicating virtual machines across multiple availability zones. The platform automatically scales up or down according to the number of requests and manages compute resources for you. With AWS Lambda, you only pay for the runtime of your function and the number of requests it receives.

According to [Recent Statistics] from Statista, AWS has a market share of 32.8%.

Google Cloud Functions

Google Cloud Functions is a serverless computing option that supports Node.js, Python, Go, and other languages. It lets developers run their code in response to events and automatically scales their code to handle traffic. Google Cloud Functions provides a simple and cost-effective way to build event-driven applications and services.

Google Cloud Functions offers pay-as-you-go pricing, so you only pay for the resources your code uses and the number of requests it handles.

Currently, Google Cloud Functions is trailing slightly behind AWS with a market share of 16.2%, according to the same [statistics] from Statista.

Microsoft Azure Functions

Microsoft Azure Functions is a serverless computing option that supports multiple languages such as .NET, Node.js, Python and Java among others. The platform allows developers to build serverless applications and workflows that integrate with other Azure services. Azure Functions automatically scales to meet demand, which helps to lower costs and improve application performance.

Azure Functions is also backed by Service Level Agreements (SLAs) that guarantees high availability and reliability. Azure Functions offers pay-as-you-go pricing, which is billed per execution and unique to each operation.

Azure Functions is currently the least used of these options, with a market share of 13.8%, according to the same [statistics] from Statista.

Conclusion

All three serverless computing options offer similar features and benefits. AWS Lambda has been around the longest and remains the most popular of the three, with higher market share. Google Cloud Functions and Microsoft Azure Functions are other great options if you want to run serverless functions, with similar capabilities and scalability. In any case, we recommend trying each of them out and seeing which one fits best within your particular task.

References

[1] Serverless Statistics https://www.statista.com/statistics/1160529/worldwide-public-cloud-platforms-market-share/


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