How does AWS SAM differ from CloudFormation?
Discover how AWS SAM differs from CloudFormation in structure, use case, and functionality. Ideal for learners taking AWS Classes in Pune and beyond.

Amazon Web Services (AWS) provides a range of tools to define and emplace infrastructure as code. Among these, AWS CloudFormation and AWS Serverless Application Model (AWS SAM) are two important options that enable inventors to define and manage AWS infrastructure using templates. While they may seem analogous on the face, AWS SAM and CloudFormation serve different purposes and offer unique benefits depending on your design needs.
This composition explores the core differences between AWS SAM and CloudFormation, helping cloud professionals and learners — especially those enrolled in an AWS Course in Pune or analogous programs — understand which tool to use and when.
What's AWS CloudFormation?
AWS CloudFormation is a mature infrastructure as code (IaC) service that allows users to model, provision, and manage AWS resources using declarative JSON or YAML templates. With CloudFormation, you define what your infrastructure should look like — such as EC2 instances, VPCs, S3 buckets, and more — and AWS handles the creation and operation of those resources.
What's AWS SAM?
AWS Serverless Application Model (AWS SAM) is an extension of CloudFormation, designed specifically for building serverless applications. SAM simplifies defining serverless resources such as AWS Lambda functions, API Gateway endpoints, DynamoDB tables, and more by using a simplified syntax. It allows developers to define entire applications using fewer lines of code compared to traditional CloudFormation templates.
Crucial Differences Between AWS SAM and CloudFormation
Purpose and Scope
The primary difference between SAM and CloudFormation lies in their scope. CloudFormation is a general-purpose infrastructure tool, supporting all AWS services. SAM, on the other hand, is purpose-built for serverless application development. While SAM uses CloudFormation under the hood, it includes custom syntax to streamline serverless configuration.
Template Syntax
CloudFormation templates can be circumlocutory, especially when defining multiple Lambda functions or API Gateway endpoints. SAM introduces new resource types like AWSServerlessFunction
and AWSServerlessApi
, which significantly reduce the quantum of code needed. This makes templates more readable and manageable — particularly for scholars learning serverless architecture through structured AWS Training in Pune or analogous courses.
Local Development and Testing
One of SAM’s biggest advantages is its support for local development. The AWS SAM CLI allows you to simulate Lambda invocations and API Gateway calls locally on your machine, speeding up development and debugging. CloudFormation lacks this capability and is concentrated more on provisioning resources directly in AWS.
Transform Directive
When planting a SAM template, it must include a Transform directive (Transform: AWSServerless-2016-10-31
). This tells CloudFormation to interpret the SAM-specific syntax before processing the template. CloudFormation templates don't bear any transformation since they follow standard syntax.
Deployment Workflow
AWS SAM offers a technical deployment workflow using the sam build
and sam deploy
commands. These commands automatically package code, upload it to Amazon S3, and deploy the template. CloudFormation, in contrast, uses the aws cloudformation package
and deploy
commands, which require more manual steps and configuration.
Tooling and Integration
SAM provides built-in integrations with tools like AWS CodePipeline, AWS CodeDeploy, and IDEs like VS Code. It also supports automatic rollback and nested stacks. CloudFormation is integrated with nearly every AWS service and is ideal for complex, enterprise-grade environments. Understanding these integrations is critical for professionals attending comprehensive AWS Classes in Pune or preparing for AWS certification.
Template Size and Modularity
SAM templates are more compact and modular, thanks to their advanced-level abstractions. However, CloudFormation templates offer more fine-grained control, especially when dealing with services not supported by SAM. This makes CloudFormation the better choice for hybrid infrastructures combining serverless and traditional resources.
Open Source vs. Native Service
SAM is open-source and hosted on GitHub, which allows the community to contribute and extend its functionality. CloudFormation, on the other hand, is a closed-source, fully managed AWS service. This distinction matters for developers who prefer customizable tooling and for those who want to follow the latest trends in DevOps.
Use Cases: When to Use What?
Use AWS SAM when
-
You're building serverless applications (Lambda, API Gateway, DynamoDB)
-
You need local testing and fast replication
-
You want simplified syntax for deployment
Use CloudFormation when
-
You're managing a complex or hybrid cloud infrastructure
-
You require maximum flexibility and fine-grained control
-
You're provisioning services not supported by SAM
Both tools serve unique roles in the AWS ecosystem, and choosing the right one depends on your use case. For serverless-first development, SAM provides a faster, developer-friendly approach. For broader infrastructure unity, CloudFormation is unmatched in power and flexibility.
Conclusion
Understanding the differences between AWS SAM and CloudFormation is vital for building effective, scalable, and cost-effective cloud solutions. Whether you're a seasoned cloud architect or someone exploring cloud computing through an AWS Course in Pune, mastering both tools will significantly enhance your DevOps and deployment capabilities.
For a foundational understanding of AWS and its ecosystem, don’t miss our companion article: What are Amazon Web Services?
And if you are looking to gain hands-on experience and guided learning, enrolling in AWS Training in Pune can be a great way to elevate your cloud skills, gain practical exposure, and prepare for certifications with real-world use cases.
By leveraging the strengths of both AWS SAM and CloudFormation, you can build robust cloud applications that meet the demands of today’s dynamic development environment.