AWS Lambda vs SST

Overview

AWS Lambda

Stacks26.0K

Followers18.8K

Votes432

SST

Stacks48

Followers31

Votes0

AWS Lambda vs SST: What are the differences?

Developers describe AWS Lambda as "Automatically run code in response to modifications to objects in Amazon S3 buckets, messages in Kinesis streams, or updates in DynamoDB". AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security. On the other hand, SST is detailed as "A live development environment for AWS Lambda". It is a framework for building serverless apps on AWS. It includes a local development environment that allows you to make changes and test your Lambda functions live. It does this by opening a WebSocket connection to your AWS account, streaming any Lambda function invocations, running them locally, and passing back the results. This allows you to work on your functions, without mocking any AWS resources, or having to redeploy them every time, to test your changes.

AWS Lambda and SST can be primarily classified as "Serverless / Task Processing" tools.

Some of the features offered by AWS Lambda are:

Extend other AWS services with custom logic
Build custom back-end services
Completely Automated Administration

On the other hand, SST provides the following key features:

A Live Lambda Development environment
Higher-level constructs designed specifically for serverless apps
Zero-config support for ES and TypeScript using esbuild

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Manual

Detailed Comparison

AWS Lambda	SST
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.	It is a framework for building serverless apps on AWS. It includes a local development environment that allows you to make changes and test your Lambda functions live. It does this by opening a WebSocket connection to your AWS account, streaming any Lambda function invocations, running them locally, and passing back the results. This allows you to work on your functions, without mocking any AWS resources, or having to redeploy them every time, to test your changes.
Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model	A Live Lambda Development environment; Higher-level constructs designed specifically for serverless apps; Zero-config support for ES and TypeScript using esbuild; Support for deploying to multiple environments and regions
Statistics
Stacks 26.0K	Stacks 48
Followers 18.8K	Followers 31
Votes 432	Votes 0
Pros & Cons
Pros 129 No infrastructure 83 Cheap 70 Quick 59 Stateless 47 No deploy, no server, great sleep Cons 7 Cant execute ruby or go 3 Compute time limited 1 Can't execute PHP w/o significant effort	No community feedback yet
Integrations
No integrations available	JavaScript TypeScript

What are some alternatives to AWS Lambda, SST?

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.