Deno Deploy
Saleor
| Feature | ||
|---|---|---|
| Pricing | Free / from $20/mo | Free / from $300/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best For | typescript-developers, edge-computing, api-builders, jamstack-sites | developer-teams, enterprise-ecommerce, multi-channel-retailers, graphql-enthusiasts |
| Founded | 2021 | 2018 |
| Edge Functions | ✓ | ✗ |
| Kv Database | ✓ | ✗ |
| Message Queues | ✓ | ✗ |
| Github Integration | ✓ | ✗ |
| Custom Domains | ✓ | ✗ |
| Automatic Https | ✓ | ✗ |
| Playground | ✓ | ✗ |
| Graphql Api | ✗ | ✓ |
| Multi Channel | ✗ | ✓ |
| Dashboard | ✗ | ✓ |
| Webhooks | ✗ | ✓ |
| Apps System | ✗ | ✓ |
| Warehouse Management | ✗ | ✓ |
| Promotions Engine | ✗ | ✓ |
✓ 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
✓ Saleor Pros
- GraphQL API-first architecture for modern frontends
- Enterprise features in free open-source edition
- Strong multi-channel commerce capabilities
- Built-in dashboard with excellent UX
✗ Saleor Cons
- Cloud hosting is expensive for startups
- Smaller community than Shopify/WooCommerce
- Self-hosting requires Python/Django expertise
The Verdict
Deno Deploy is built for typescript developers and edge computing, with a focus on edge-functions and kv-database. Saleor targets developer teams and enterprise ecommerce and leads with graphql-api and multi-channel.
On pricing, Deno Deploy is the clear winner for budget-conscious users — starting at $20/mo compared to $300/mo for Saleor. That $280/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
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.