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Comparing Azure Functions and AWS Lambda for C# Developers

Cloud Computing

In the realm of serverless computing, two major players stand out: Azure Functions and AWS Lambda. For C# developers, choosing between these platforms can be pivotal. This article delves into the key differences between Azure Functions and AWS Lambda, focusing on their usage with C# and providing code examples.


Serverless computing has revolutionized how developers deploy and run applications. Azure Functions, offered by Microsoft, and AWS Lambda, by Amazon Web Services, are two of the leading serverless compute services. They allow developers to write code that runs in response to events or HTTP requests without worrying about the underlying infrastructure.

Azure Functions

Azure Functions is a serverless compute service that enables you to run code on-demand without having to explicitly provision or manage infrastructure. With Azure Functions, you can write functions in C# (among other languages) that respond to various triggers.

Key Features

  • Multiple Triggers and Bindings: Azure Functions supports a variety of triggers and bindings, such as HTTP, timer, queue, and blob storage.
  • Integrated Development Experience: It offers deep integration with other Azure services and Visual Studio, simplifying development and deployment.
  • Flexible Hosting Plans: You can choose between consumption, premium, and dedicated plans based on your needs.

C# Code Example

public static class HttpExample
    public static async Task<IActionResult> Run(
        [HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
        ILogger log)
        log.LogInformation("C# HTTP trigger function processed a request.");

        string name = req.Query["name"];

        return name != null
            ? (ActionResult)new OkObjectResult($"Hello, {name}")
            : new BadRequestObjectResult("Please pass a name on the query string or in the request body");

AWS Lambda

AWS Lambda is Amazon's serverless computing service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically.

Key Features

  • Automatic Scaling: Lambda automatically scales your application by running code in response to each trigger.
  • Integrated with AWS Services: Lambda is deeply integrated with AWS services like S3, DynamoDB, and API Gateway.
  • Pay-Per-Use Pricing Model: You pay only for the compute time you consume.

C# Code Example

public class Function
    public string FunctionHandler(string input, ILambdaContext context)
        return $"Hello {input}";


When comparing Azure Functions and AWS Lambda, several factors come into play:

  • Language Support: Both services support C#, but Azure Functions provides a more integrated experience for C# developers, particularly those using Visual Studio.
  • Ecosystem Integration: Azure Functions is more tightly integrated with other Azure services, while Lambda works seamlessly with AWS services.
  • Scalability: Both services offer automatic scaling, but AWS Lambda's model is more granular, billing you for the exact number of milliseconds your code executes.
  • Triggers and Bindings: Azure Functions offers a wider range of triggers and bindings compared to AWS Lambda.


For C# developers, both Azure Functions and AWS Lambda offer robust, scalable platforms for serverless computing. The choice largely depends on your specific needs and whether you're already invested in the Microsoft or Amazon ecosystem. Azure Functions might appeal more to those deeply embedded in the Microsoft environment, while AWS Lambda is ideal for those committed to the AWS ecosystem.