Databricks
Databricks is a unified data and AI platform built on Apache Spark that streamlines data engineering, machine learning, and business analytics. It enables collaborative development through interactive notebooks and scalable infrastructure across cloud environments.
Key Features
Collaborative Notebooks: Real-time co-authoring with support for Python, SQL, Scala, and R.
MLflow Integration: Manage the full ML lifecycle — experimentation, reproducibility, and deployment.
Delta Lake: An open storage layer for ACID transactions and scalable metadata handling.
SQL Analytics: Supports BI dashboards, ad hoc queries, and analytics on structured data.
Cloud-Native Scalability: Deep integration with AWS, Azure, and Google Cloud.
Example Use Cases
Building and deploying ML models in a collaborative environment
Creating robust, scalable data pipelines
Real-time and batch analytics for data lakes
BI dashboard development with SQL