Deno Deploy
LinearB
| Feature | Deno Deploy | LinearB |
|---|---|---|
| Pricing | Free / from $20/mo | Free / from $39/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best For | typescript-developers, edge-computing, api-builders, jamstack-sites | engineering-managers, vp-engineering, ctos, devops-teams |
| Founded | 2021 | 2019 |
| Edge Functions | ✓ | ✗ |
| Kv Database | ✓ | ✗ |
| Message Queues | ✓ | ✗ |
| Github Integration | ✓ | ✗ |
| Custom Domains | ✓ | ✗ |
| Automatic Https | ✓ | ✗ |
| Playground | ✓ | ✗ |
| Cycle Time Metrics | ✗ | ✓ |
| Dora Metrics | ✗ | ✓ |
| Pr Insights | ✗ | ✓ |
| Workflow Automation | ✗ | ✓ |
| Team Benchmarks | ✗ | ✓ |
| Planning Intelligence | ✗ | ✓ |
| Investment Profile | ✗ | ✓ |
✓ 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
✓ LinearB Pros
- Correlates engineering metrics with business outcomes
- Automated workflow improvements (WorkerB)
- Benchmarks against industry standards
- Identifies bottlenecks in dev process
✗ LinearB Cons
- Expensive for large engineering teams
- Can feel like surveillance to developers
- Metrics can be gamed if not used carefully
The Verdict
Deno Deploy is built for typescript developers and edge computing, with a focus on edge-functions and kv-database. LinearB targets engineering managers and vp engineering and leads with cycle-time-metrics and dora-metrics.
On pricing, Deno Deploy is the clear winner for budget-conscious users — starting at $20/mo compared to $39/mo for LinearB. That $19/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.