Comparison
Databricks vs Looker
Scored side by side on data-analytics, using the same criteria we apply across the category.
Lakehouse platform unifying data engineering, analytics and machine learning on open formats.
Governed BI built on a version-controlled semantic layer.
Scored side by side
Governance
Value for money
Databricks verdict
The right platform when machine learning is a first-class workload rather than an afterthought.
- Best unified platform for data and machine learning
- Open table formats limit lock-in
- Mature experiment tracking and model serving
Looker verdict
The strongest governance story in BI. Only justifiable if you will genuinely maintain the semantic layer.
- Semantic layer ends metric disputes
- Excellent embedded analytics
- Version control brings engineering rigour to BI
FAQ
Common questions
What's the difference between Databricks and Looker?
Databricks: The right platform when machine learning is a first-class workload rather than an afterthought. Looker: The strongest governance story in BI. Only justifiable if you will genuinely maintain the semantic layer.
Which has better reviews, Databricks or Looker?
Databricks is rated higher — 4.5/5 versus 4.2/5, from 4,300 and 3,400 reviews respectively.
Does Databricks or Looker have a free plan?
Databricks has a free tier ($0.07 per DBU, consumption-based); Looker doesn't (starting at Custom, typically $60k+ per year).