Brushfire
Distributed decision tree ensemble learning in Scala.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Brushfire?
Brushfire is a distributed decision tree ensemble learning library written in Scala. It enables scalable machine learning for large datasets by leveraging distributed computing.
Key differentiator
“Brushfire stands out as a specialized library for distributed machine learning, focusing on scalability and efficiency in handling large datasets with decision trees.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Primary development in Scala limits adoption for teams not using JVM languages.
Setting up distributed computing environments requires significant infrastructure knowledge and resources.
Distributed decision tree algorithms can suffer from inefficiencies if data is not properly partitioned or balanced across nodes.
Current documentation focuses on basic usage scenarios, lacking comprehensive guides for complex configurations and optimizations.
Fit analysis
Who is it for?
✓ Best for
Teams working with large datasets that require scalable machine learning solutions
Projects needing to train models in a distributed environment for efficiency and speed
✕ Not a fit for
Small-scale projects where distributed computing is not necessary
Applications requiring real-time decision tree processing without the need for distributed systems
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Brushfire
Step-by-step setup guide with code examples and common gotchas.