LinearB
Pulumi
| Feature | ||
|---|---|---|
| Pricing | Free / from $39/mo | Free / from $50/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.4 / 5 |
| Best For | engineering-managers, vp-engineering, ctos, devops-teams | developers, platform-engineers, polyglot-teams, cloud-architects |
| Founded | 2019 | 2017 |
| Cycle Time Metrics | ✓ | ✗ |
| Dora Metrics | ✓ | ✗ |
| Pr Insights | ✓ | ✗ |
| Workflow Automation | ✓ | ✗ |
| Team Benchmarks | ✓ | ✗ |
| Planning Intelligence | ✓ | ✗ |
| Investment Profile | ✓ | ✗ |
| Programming Languages | ✗ | ✓ |
| Multi Cloud | ✗ | ✓ |
| State Management | ✗ | ✓ |
| Policy As Code | ✗ | ✓ |
| Secrets Management | ✗ | ✓ |
| Pulumi Ai | ✗ | ✓ |
| Drift Detection | ✗ | ✓ |
✓ 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
✓ Pulumi Pros
- Use real programming languages instead of DSLs
- Strong typing and IDE support for infrastructure code
- Multi-cloud support with consistent API
- Pulumi AI generates infrastructure code from prompts
✗ Pulumi Cons
- Smaller community than Terraform
- State management requires Pulumi Cloud or self-hosting
- Less third-party provider coverage than Terraform
The Verdict
LinearB is built for engineering managers and vp engineering, with a focus on cycle-time-metrics and dora-metrics. Pulumi targets developers and platform engineers and leads with programming-languages and multi-cloud.
On pricing, LinearB is the clear winner for budget-conscious users — starting at $39/mo compared to $50/mo for Pulumi. That $11/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.