Head-to-head · Edge Functions
Fastly Compute vs Deno Deploy
Fastly Compute leads on 0 checks, Deno Deploy on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreFastly Compute · 9.4/10
- Free planboth
- Most featuresDeno Deploy · 3 of 3
Fastly Compute scores higher on our rubric for edge functions: 9.4 against 9.2 out of 10; our editors rank them #1 and #2.
Fastly Compute is the better fit for production-grade WebAssembly edge applications. Deno Deploy is the better fit for teams wanting a full-featured JavaScript edge platform.
- Fastly Compute fits best
Production-grade WebAssembly edge applications
- Deno Deploy fits best
Teams wanting a full-featured JavaScript edge platform
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Side by side
| Feature | Fastly Compute 9.4/10 Visit ↗ | Deno Deploy 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.2 |
| Ranking | #1 in Edge Functions | #2 in Edge Functions |
| Best for | Production-grade WebAssembly edge applications | Teams wanting a full-featured JavaScript edge platform |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $0.05/unit usage-based | $20/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Email, Community |
| Built for | Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Fastly Compute 2/3 · Deno Deploy 3/3 | ||
| Request processing | ✓ | ✓ |
| Response streaming | ✓ | ✓ |
| Cron triggers | Not checked yet | ✓ (best) |
| Specs | ||
| Runtime languages | Rust, JavaScript, Go, C++, Python, and other WASI-supporting languages | JavaScript, TypeScript, Deno, Node.js |
| Included requests | Not checked yet | 5e+06 /mo |
| Deployment methods | Fastly CLI, Fastly control panel, GitHub Actions, Terraform, and APIs | GitHub integration, dashboard, CLI |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Fastly Compute is a globally distributed serverless platform for running application logic, APIs, authentication layers, and edge functions close to end users. It is aimed at teams building latency-sensitive applications such as… Read the review → |
Deno Deploy is a serverless platform for deploying and running JavaScript and TypeScript applications in the cloud or on self-hosted infrastructure. It is designed for individual developers, teams, and organizations building dynamic web… Read the review → |
Strengths and trade-offs
Fastly Compute — where it wins
- WebAssembly isolation with Rust, JavaScript, Go, C++, and Python support
- Streaming request and response bodies for edge-native applications
- Fastly CLI, Terraform, GitHub Actions, logs, metrics, and KV Store integration
Where it doesn't
- Usage-based billing can require separate request and vCPU tracking
- Runtime support depends on WebAssembly and WASI-compatible languages
- Designed for edge execution rather than a conventional fixed monthly plan
Deno Deploy — where it wins
- Free plan includes 1M requests monthly and 20 GiB egress
- Supports JavaScript, TypeScript, Deno, and Node.js compatibility
- GitHub, dashboard, and CLI deployment with observability tools
Where it doesn't
- The Free plan is limited to 1M requests per month
- Free-plan support is community-only
- Platform support is listed for the web
- Fastly Compute9.4/10 · Free plan
A production-focused edge runtime with streaming, broad language support, and usage-based pricing.
Visit Fastly ComputeFull verdict → - Deno Deploy9.2/10 · Free plan
A broad edge platform with JavaScript runtimes, streaming, cron, and observability.
Visit Deno DeployFull verdict →
More comparisons
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- Fastly Compute vs AWS Lambda
- Fastly Compute vs Akamai Functions
- Fastly Compute vs Bunny Edge Scripting
- Deno Deploy vs Akamai EdgeWorkers
- Deno Deploy vs Alibaba Cloud Functions and Pages
All edge functions comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







