Data & Analytics comparison
Databricks vs Looker
Our pick: Databricks scores 8.8/10 against 8.2/10 for Looker. Here's how they differ and which one fits your needs.
VS
At a glance
| Databricks | Looker | |
|---|---|---|
| Our score | 8.8/10 | 8.2/10 |
| Best for | Enterprises, Data teams | Data teams, Enterprises |
| Type | Data analysis | BI & dashboards |
| Pricing | Paid | Contact sales |
| Starting price | See website | See website |
| Platforms | Web, API | Web |
| Launched | 2013 | 2012 |
Key features
Databricks
- Lakehouse
- AI/BI Genie
- Mosaic AI
- Unity Catalog
- Databricks SQL
Looker
- LookML semantic layer
- Conversational analytics
- Looker Studio
- Embedded analytics
- Gemini assistance
Databricks: pros and cons
Pros
- Unified data and AI platform
- Scales to massive data
Cons
- Complex and costly
- Requires data engineering skills
Looker: pros and cons
Pros
- Strong governed semantic layer
- Integrates with BigQuery
Cons
- LookML learning curve
- Enterprise pricing
Verdict: Databricks or Looker?
Choose Databricks if you're enterprises or data teams and value unified data and AI platform.
Choose Looker if you're data teams or enterprises and value strong governed semantic layer.
Overall we rate Databricks slightly higher. Both are worth trying. See all Data & Analytics tools for more options.
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