Looker vs Metabase: Complete Comparison (2026)
Choosing between Looker and Metabase is a common decision for analytics & bi buyers in 2026. Both Looker and Metabase are established players, founded in 2012 and 2014 respectively. Looker serves 2.5K+ orgs users while Metabase has 100K+ users globally. Looker differentiates with lookml modeling and embedded analytics, while Metabase leads with no-code queries and dashboards. In this head-to-head comparison, Metabase earns a higher hiltonsoftware.co score of 90/100 — but the right choice depends on your specific needs, budget, and team size.
Quick Comparison
Feature-by-Feature Comparison
Pros & Cons at a Glance
After comparing Looker and Metabase across features, pricing, and user satisfaction, Metabase takes the lead with a score of 90/100 versus Looker's 88/100. Metabase's key advantages include "free and open source self-hosted" and "very easy for non-technical users". That said, Looker has its own strengths — particularly "consistent metrics across org" — making it a viable alternative for specific use cases.
On pricing, there's a clear difference: Metabase offers a free plan, making it more accessible for individuals and small teams exploring analytics & bi solutions. Looker starts at Custom pricing with no free tier, but often justifies the cost with lookml modeling and embedded analytics.
Bottom line: Choose Looker if you need data-driven companies wanting a governed, consistent metrics platform. Go with Metabase if your priority is startups and teams wanting free, easy bi without a data engineering team. Both are strong analytics & bi tools — we recommend trying the free plan of each before committing.
Data-driven companies wanting a governed, consistent metrics platform.
Startups and teams wanting free, easy BI without a data engineering team.