Middleware vs Umami
| Tagline | Engineering analytics platform that measures team effectiveness via DORA metrics | Simple, fast, privacy-focused web analytics in a single lightweight dashboard |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics, Mixpanel, Amplitude | Google Analytics |
| GitHub stars | 1.6k | 37k |
| Language | Docker | TypeScript |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Docker Compose | One-Click Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 10 days ago | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Middleware
- Focused exclusively on engineering metrics; not a general-purpose product or user analytics tool
- Integration list is limited to Git hosting platforms and Jira — no PagerDuty or incident-management connectors yet
- Trend and benchmark data requires a sufficiently long history of merged PRs to be meaningful
- No alerting or notification system for metric regressions
Umami
- Deliberately minimal: no heatmaps, session replay, or deep product-analytics like funnels/retention found in Mixpanel/Amplitude.
- Event/custom-property analytics are basic compared to dedicated product-analytics tools.
- No built-in alerting or anomaly detection.
Bottom line
Both are a similar lift to self-host; choose Umami for the larger community and ecosystem. Umami has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Middleware
Engineering analytics platform that measures team effectiveness via DORA metrics
Umami
Simple, fast, privacy-focused web analytics in a single lightweight dashboard