PostHog vs Looker
Detailed comparison to help you choose the right tool for your needs
Quick Comparison
Rating
4.5
vs4.4
Starting Price
Free
vs$null
Pricing Model
freemium
vsenterprise
Feature
PostHog
Looker
Product analytics
Session replay
Feature flags
A/B testing
Surveys
Data warehouse
LookML modeling
Embedded analytics
Custom dashboards
API access
Git integration
Data governance
PostHog Pros
- All-in-one analytics replay flags and testing
- Generous free tier with 1M events per month
- Open source and self-hostable
- Developer-friendly with SQL access
- No vendor lock-in with data portability
- Transparent usage-based pricing
PostHog Cons
- Younger platform still maturing
- UI less polished than Mixpanel or Amplitude
- Self-hosting requires significant DevOps
- Documentation gaps for advanced features
- Performance can lag with very large datasets
- Mobile SDKs less mature than competitors
Looker Pros
- Best-in-class semantic layer with LookML
- Excellent embedded analytics capabilities
- Strong governance and version control
- Deep BigQuery and Google Cloud integration
- Powerful for data teams that think in SQL
- Git-based workflow for model management
Looker Cons
- No free tier with enterprise pricing only
- Steep learning curve for LookML
- Requires data engineering resources
- Slow dashboard load times reported
- Being merged into Looker Studio creates confusion
- Overkill for small teams