PostHog vs Metabase
A bundled product-analytics toolkit, or open-source BI everyone in the company will open?
These are often shortlisted together and should not be. PostHog answers behavioural questions about product usage and bundles replay, flags and experiments alongside. Metabase answers business questions over your warehouse and is designed for company-wide self-serve.
Data
PostHog
Product analytics with the rest of the toolkit attached
Composite
84
Dimensions won
2 / 8
- Capability
- 86
- Usability
- 82
- Ecosystem
- 80
- Value
- 90
- Support
- 78
Data
Metabase
Open-source BI that non-analysts actually use
Composite
84
Dimensions won
4 / 8
- Capability
- 76
- Usability
- 94
- Ecosystem
- 78
- Value
- 94
- Support
- 74
[ 01 ] Dimension by dimension
Where each tool actually pulls ahead.
| Dimension | PostHog | Metabase | Edge |
|---|---|---|---|
| Primary question type | Product behaviour | Business metrics over a warehouse | Even |
| Non-analyst adoption | Good for product teams | Excellent company-wide | Metabase |
| Session replay | Included | Not offered | PostHog |
| Feature flags and experiments | Included | Not offered | PostHog |
| SQL access | Available | Central to the product | Metabase |
| Self-hosting | Yes | Yes | Even |
| Pricing shape | Usage across several meters | Per seat or free self-hosted | Metabase |
| Warehouse integration | Good | Native and central | Metabase |
[ 02 ] The verdict
Most companies past seed stage need both and should stop treating it as a choice. If forced: PostHog for product teams shipping features, Metabase for everyone else asking questions of the warehouse.
Choose PostHog if
Your questions are about product behaviour — funnels, retention, feature adoption — and you want replay and flags in the same system.
Read the PostHog reviewChoose Metabase if
Your questions span revenue, operations and finance, your data lives in a warehouse, and you need non-analysts to self-serve.
Read the Metabase review