Comparison
AWS Lambda vs Cloudflare Workers
Both run code without servers, but Lambda is functions in AWS regions, while Workers are lightweight V8 isolates at the edge of Cloudflare's network.
| Aspect | AWS Lambda | Cloudflare Workers |
|---|---|---|
| Execution model | Functions in microVMs (Firecracker) in an AWS region | V8 isolates in hundreds of cities worldwide |
| Languages and runtimes | Node.js, Python, Java, .NET, Go, Ruby and custom container images | JavaScript, TypeScript, WebAssembly; Python in beta |
| Cold start | From tens of milliseconds to seconds depending on runtime and size | Practically none, isolates start in milliseconds |
| Run time | Up to 15 minutes per invocation | CPU time limits, long tasks need Durable Objects, Queues or Workflows |
| Ecosystem | Integrates with all of AWS: S3, DynamoDB, SQS, API Gateway | KV, R2, D1, Durable Objects, Queues on Cloudflare's own platform |
| Node.js compatibility | Full Node.js runtime | A subset of APIs, many packages work through a compatibility mode |
| Pricing | By invocations and execution time with memory | By requests and CPU time, usually cheaper for light workloads |
| Best for | Backend logic inside AWS, event processing, heavy compute | Edge APIs, redirects, A/B tests, personalization, light services |
Choose AWS Lambda when
- Your data and services are already in AWS.
- You need other languages, longer tasks or large dependencies.
- Event processing from S3, SQS, DynamoDB Streams.
Choose Cloudflare Workers when
- You need minimal latency for users in different regions.
- The logic is light: routing, checks, APIs.
- You want simple deployment with no region choice.
Bottom line
Lambda is better as part of the AWS ecosystem and for heavier logic. Workers win on start speed, global proximity and simplicity for light APIs. They complement each other well.
Compared
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