JMP vs Databricks
A comprehensive head-to-head comparison of two leading machine learning & data science solutions in 2026. Compare features, pricing, ratings, and more to find the right fit.
Quick Verdict
Choose JMP if you need Interactive statistics and prefer a free starting option. Choose Databricks if you prioritize Delta Lake and want a free tier to start. Databricks has a higher user rating (4.5 vs 4.4).
JMP vs Databricks: At a Glance
| Criteria | JMP | Databricks |
|---|---|---|
| User Rating | 4.4 | 4.5 |
| Pricing | Free | Free |
| Pricing Model | subscription | pay-as-you-go |
| Free Plan | ||
| Platforms | Mac, Windows | Web, Aws, Azure, Gcp |
| Category | Machine Learning & Data Science | Machine Learning & Data Science |
| Founded | 1976 | 2013 |
Feature Comparison: JMP vs Databricks
| Feature | JMP | Databricks |
|---|---|---|
| Interactive statistics | ||
| Dynamic visualization | ||
| Design of experiments | ||
| Predictive modeling | ||
| Quality control | ||
| SAS | ||
| Python | ||
| R | ||
| MATLAB | ||
| Excel | ||
| Mac support | ||
| Windows support | ||
| Delta Lake | ||
| Apache Spark | ||
| MLflow | ||
| Unity Catalog | ||
| Photon Engine | ||
| Collaborative Notebooks | ||
| Auto-scaling | ||
| AWS | ||
| Azure | ||
| GCP | ||
| Tableau | ||
| Power BI | ||
| Web support | ||
| Aws support | ||
| Azure support |
JMP vs Databricks: Pricing Breakdown
JMP Pricing
Model: subscription
- 30-day trial
- Full features
- Core JMP
- Standard features
Databricks Pricing
Model: pay-as-you-go
- Limited cluster
- Notebook environment
- Community support
- Jobs compute
- SQL compute
- Standard support
Pros and Cons
JMP
Pros
- Highly rated by users (4.4/5)
- Free plan available to get started
- Rich feature set with 12+ capabilities
- Strong Interactive statistics functionality
- Strong Dynamic visualization functionality
Cons
- May require time to learn advanced features
Databricks
Pros
- Highly rated by users (4.5/5)
- Free plan available to get started
- Available on 4 platforms (Web, Aws, Azure, Gcp)
- Rich feature set with 15+ capabilities
- Strong Delta Lake functionality
- Strong Apache Spark functionality
Cons
- May require time to learn advanced features
Who Should Use JMP vs Databricks?
Choose JMP if you:
- Need Interactive statistics
- Want to start for free
- Work primarily on Mac and Windows
- Value Dynamic visualization
Choose Databricks if you:
- Need Delta Lake
- Want to start for free
- Work primarily on Web and Aws
- Value Apache Spark
Frequently Asked Questions: JMP vs Databricks
Is JMP better than Databricks?
It depends on your needs. JMP has a 4.4/5 user rating while Databricks has 4.5/5. JMP excels in Interactive statistics and Dynamic visualization, while Databricks stands out with Delta Lake and Apache Spark. Consider your budget (Free vs Free), platform needs, and specific feature requirements.
Which is cheaper, JMP or Databricks?
JMP offers a free plan and starts at Free. Databricks offers a free plan and starts at Free. Compare the specific plan features to determine the best value for your use case.
Can I use JMP and Databricks together?
While both are machine learning & data science tools, some teams use complementary software together. Check each product's API and integration capabilities for compatibility. However, most users find that one solution covers their core machine learning & data science needs.
What are the main differences between JMP and Databricks?
The key differences include: pricing model (subscription vs pay-as-you-go), platform support (Mac, Windows vs Web, Aws, Azure, Gcp), and feature focus. JMP emphasizes Interactive statistics, Dynamic visualization, Design of experiments while Databricks focuses on Delta Lake, Apache Spark, MLflow. User ratings differ slightly: 4.4 vs 4.5 out of 5.
Ready to choose?
Explore detailed reviews, user ratings, and pricing for both JMP and Databricks.