Lightdash vs Looker
AI Data Analysis tools comparison · Updated 2026
Choosing between Lightdash and Looker? Both are popular AI Data Analysis tools. Lightdash starts at Freemium and focuses on dbt integration. Looker starts at Paid and specializes in LookML modeling. Here's a detailed side-by-side comparison to help you decide.
At a Glance
Feature Comparison
| Lightdash | Looker |
|---|---|
| ✓ dbt integration | ✓ LookML modeling |
| ✓ Auto-generated metrics | ✓ Embedded analytics |
| ✓ Self-serve exploration | ✓ Gemini AI integration |
| ✓ Open source | ✓ API-first design |
| ✓ Dashboard builder | ✓ Data governance |
| ✓ Scheduling | ✓ Git version control |
Pricing Comparison
Lightdash
freemiumSelf-hosted is free. Cloud Starter free for 3 users. Pro at $20/user/mo. Enterprise custom.
Looker
enterpriseCustom pricing through Google Cloud. Looker Studio is free. Looker enterprise requires quote.
Pros & Cons
Lightdash
Pros
- Tight dbt integration
- Open source
- Good free tier
- Active development
Cons
- dbt dependency
- Younger product
- Fewer visualization types
Looker
Pros
- Strong semantic layer
- Git-based workflows
- Scalable
- Excellent embedded analytics
Cons
- LookML learning curve
- Expensive
- Tied to Google Cloud
The Verdict
Both Lightdash and Looker are strong AI Data Analysis tools. Lightdash stands out for Tight dbt integration, making it ideal if that's your priority. Looker excels at Strong semantic layer, which may be more important for your workflow. Price-wise, Lightdash is freemium while Looker is enterprise, so budget may also factor in.
Related Topics
Also Consider
Other popular AI Data Analysis tools you might want to compare.