Weka 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 Weka if you need Classification 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 4.1).
Weka vs Databricks: At a Glance
| Criteria | Weka | Databricks |
|---|---|---|
| User Rating | 4.1 | 4.5 |
| Pricing | Free | Free |
| Pricing Model | open-source | pay-as-you-go |
| Free Plan | ||
| Platforms | Linux, Mac, Windows | Web, Aws, Azure, Gcp |
| Category | Machine Learning & Data Science | Machine Learning & Data Science |
| Founded | 1993 | 2013 |
Feature Comparison: Weka vs Databricks
| Feature | Weka | Databricks |
|---|---|---|
| Classification | ||
| Regression | ||
| Clustering | ||
| Association rules | ||
| Feature selection | ||
| Java | ||
| R | ||
| Python | ||
| Linux support | ||
| 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 |
Weka vs Databricks: Pricing Breakdown
Weka Pricing
Model: open-source
- All ML algorithms
- GUI and CLI
- Java API
Databricks Pricing
Model: pay-as-you-go
- Limited cluster
- Notebook environment
- Community support
- Jobs compute
- SQL compute
- Standard support
Pros and Cons
Weka
Pros
- Highly rated by users (4.1/5)
- Free plan available to get started
- Available on 3 platforms (Linux, Mac, Windows)
- Rich feature set with 11+ capabilities
- Strong Classification functionality
- Strong Regression 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 Weka vs Databricks?
Choose Weka if you:
- Need Classification
- Want to start for free
- Work primarily on Linux and Mac
- Value Regression
Choose Databricks if you:
- Need Delta Lake
- Want to start for free
- Work primarily on Web and Aws
- Value Apache Spark
Frequently Asked Questions: Weka vs Databricks
Is Weka better than Databricks?
It depends on your needs. Weka has a 4.1/5 user rating while Databricks has 4.5/5. Weka excels in Classification and Regression, 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, Weka or Databricks?
Weka 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 Weka 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 Weka and Databricks?
The key differences include: pricing model (open-source vs pay-as-you-go), platform support (Linux, Mac, Windows vs Web, Aws, Azure, Gcp), and feature focus. Weka emphasizes Classification, Regression, Clustering while Databricks focuses on Delta Lake, Apache Spark, MLflow. User ratings differ slightly: 4.1 vs 4.5 out of 5.
Ready to choose?
Explore detailed reviews, user ratings, and pricing for both Weka and Databricks.