Databricks
Reviews
Star rating
Rank in Big Data Processing and Distribution
Pros and cons
Pros
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations
Cons
- Learning Curve
- Expensive
- Steep Learning Curve
- Complexity
- Missing Features
- UX Improvement
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 15.1% |
| Mid-Market | 37.6% |
| Enterprise | 47.2% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 19 | 4.5 |
| 2025 Q1 | 59 | 4.7 |
| 2025 Q2 | 184 | 4.7 |
| 2025 Q3 | 12 | 4.5 |
| 2025 Q4 | 20 | 4.3 |
| 2026 Q1 | 66 | 4.5 |
| 2026 Q2 | 623 | 4.7 |
| 2026 Q3 | 43 | 4.5 |
Satisfaction ratings
What reviewers say
Flexible Interface and Fast Segmentation Testing with Databricks
“I like the interface—it’s flexible—and the speed at which you can test a segmentation hypothesis is excellent. Seeing results in a matter of hours is fantastic. I also love being able to sit down and collaborate directly with the data engineers; it’s great. Databricks does a magn”
Easy to Use with Agents
“It’s easy to use, and we have good access to support from our Databricks support and account team. The documentation is also clear and straightforward.”
Powerful Data Sharing and Scaling, with Cost and UI Trade-Offs
“I like that Databricks lets me apply complex transformations and rely on a single source of truth. I value being able to share data with my team so they understand my business logic. Automatic scaling is valuable at the end of each quarter for in-depth customer churn and upsell a”