Side-by-side comparison · AI Data Analysis
| Dimension | Looker | Power BI |
|---|---|---|
| Pricing | Enterprise pricing quoted per user with annual contracts, typically starting in the tens of thousands of dollars per year; Looker Studio remains a separate free product - verify current pricing on the official page | Free desktop authoring and a limited free service tier; shared publishing moves to per-user subscriptions around $10-$20 per user per month, with premium capacity billed separately - verify current pricing on the official page |
| Free plan | Paid | Yes |
| Rating | β β β β β | β β β β β |
| Best for | governed enterprise bi, metric consistency, embedded analytics and data products | business dashboards, spreadsheet reporting, kpi tracking and microsoft 365 reporting |
| Category | AI Data Analysis | AI Data Analysis |
If your priority is governed enterprise bi, metric consistency, embedded analytics and data products, Looker is the stronger pick. If instead you care more about business dashboards, spreadsheet reporting, kpi tracking and microsoft 365 reporting, go with Power BI. For most people, trying both on a free tier is the fastest way to decide - they serve the same AI Data Analysis space but differ in workflow and output style.
It depends on your task. Looker leads on governed enterprise bi, metric consistency, embedded analytics and data products; Power BI is better when you need business dashboards, spreadsheet reporting, kpi tracking and microsoft 365 reporting. Try both free tiers.
Yes - many users keep one as the daily driver and the other for specific tasks where it is stronger.