About Databricks
Databricks provides a unified Data + AI platform (lakehouse) for data engineering, analytics, and machine learning to build, train, and deploy models on cloud infrastructure.
Key Features
- Lakehouse architecture for unified data storage and analytics (Delta Lake).
- Managed Spark-based data engineering, collaborative notebooks, and model training.
- ML lifecycle tooling including MLflow integration, model registry, and deployment.
- Integrated governance and Unity Catalog for security and data governance.
Use Cases & Best For
Data engineering and ML teams needing a unified lakehouse for analytics and model development.
Enterprises that require scalable, collaborative training and production ML deployments.
About ML Platforms & Training
End-to-end machine learning platforms