Looker vs Redash: Complete Comparison (2026)
Choosing between Looker and Redash is a common decision for analytics & bi buyers in 2026. Both Looker and Redash are established players, founded in 2012 and 2013 respectively. Looker serves 2.5K+ orgs users while Redash has 50K+ users globally. Looker differentiates with lookml modeling and embedded analytics, while Redash leads with sql editor and dashboards. In this head-to-head comparison, Looker earns a higher hiltonsoftware.co score of 88/100 — 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 Redash across features, pricing, and user satisfaction, Looker takes the lead with a score of 88/100 versus Redash's 86/100. Looker's key advantages include "consistent metrics across org" and "powerful embedded analytics". That said, Redash has its own strengths — particularly "free and open-source" — making it a viable alternative for specific use cases.
On pricing, there's a clear difference: Redash 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 Redash if your priority is data teams wanting a free, sql-based dashboard tool they can self-host. 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.
Data teams wanting a free, SQL-based dashboard tool they can self-host.