Deno Deploy
Depot
| Feature | Depot | |
|---|---|---|
| Pricing | Free / from $20/mo | Free / from $20/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.5 / 5 |
| Best For | typescript-developers, edge-computing, api-builders, jamstack-sites | engineering-teams, ci-cd-pipelines, monorepo-teams, docker-heavy-teams |
| Founded | 2021 | 2022 |
| Edge Functions | ✓ | ✗ |
| Kv Database | ✓ | ✗ |
| Message Queues | ✓ | ✗ |
| Github Integration | ✓ | ✗ |
| Custom Domains | ✓ | ✗ |
| Automatic Https | ✓ | ✗ |
| Playground | ✓ | ✗ |
| Fast Builds | ✗ | ✓ |
| Remote Caching | ✗ | ✓ |
| Github Actions | ✗ | ✓ |
| Multi Platform Builds | ✗ | ✓ |
| Buildkit Compatible | ✗ | ✓ |
| Build Analytics | ✗ | ✓ |
✓ Deno Deploy Pros
- Deploys to 35+ edge locations automatically
- Zero-config with native TypeScript support
- Built-in KV database and message queues
- Generous free tier (100K requests/day)
✗ Deno Deploy Cons
- Limited to Deno runtime (not Node.js compatible for all packages)
- Smaller ecosystem than established platforms
- Less suitable for long-running background jobs
✓ Depot Pros
- Dramatically faster Docker builds
- Drop-in replacement for docker build
- Native layer caching
- GitHub Actions integration
✗ Depot Cons
- Only for container builds
- Costs scale with usage
- Newer platform
The Verdict
Deno Deploy is built for typescript developers and edge computing, with a focus on edge-functions and kv-database. Depot targets engineering teams and ci cd pipelines and leads with fast-builds and remote-caching.
Both tools come in at similar price points ($20/mo for Deno Deploy, $20/mo for Depot), so pricing won't make the decision for you.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Deno Deploy offers broader built-in capabilities (7 features vs 6), while Depot takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.