THE SMART ALTERNATIVE
Un-SaaS your data.
SaaS isn’t the right model for enterprise data infrastructure. It’s rigid, expensive and may result in vendor lock-in and data leaks. So we started over and built a modern self-hosted data platform based on recent, real-world user feedback.
UNIFIED PLATFORM FOR DATA SCIENCE
Data science
Your complete platform for modern data science. From exploration to deployment, streamline your ML workflow while maintaining enterprise-grade security and control.
Essential tools for data scientists
DEVELOPMENT ENVIRONMENT
- Jupyter notebooks integration
- Interactive Python/R/Scala
- Version control
- Collaboration features
- Package management
ML TOOLS
- Distributed ML training
- Model versioning
- Experiment tracking
- Hyperparameter tuning
- Model deployment
DATA ACCESS
- Direct data access
- SQL query interface
- Data versioning
- Feature store
- Data lineage
End-to-end ML workflow
Data preparation
Model development
Model training
Model deployment
Team benefits
ACCELERATED DEVELOPMENT
- Focus on model development with streamlined data access and automated workflows. Reduce time spent on infrastructure and operations.
ENTERPRISE SCALE
- Handle large-scale data and compute requirements with distributed processing. Scale your ML workloads effortlessly.
FULL CONTROL
- Maintain complete control over your data science infrastructure while benefiting from modern tools and automation.
BOOK A DEMO
Ready to transform your data science workflow?
Experience the power of a complete data science platform with the control you need.