Databricks is a unified data analytics platform that simplifies big data processing, AI, and machine learning by combining data engineering and collaborative workspace.
Built on Apache Spark, Databricks offers a fast, scalable engine for big data analytics, enabling real time processing and seamless integration with multiple data sources.
Databricks provides collaborative notebooks where data scientists, engineers, and analysts can explore data, build models, and share insights in real time.
Supports end-to-end machine learning workflows from experiment tracking to model deployment making ML easier and more efficient with built in tools and automation.
Delta Lake ensures reliable, high quality data with ACID transactions, schema enforcement, and scalable metadata handling for consistent analytics and reports.
Databricks runs seamlessly on major cloud platforms like AWS, Azure, and Google Cloud, automatically scaling compute resources as needed for performance.
Offers fine grained access control, encryption, compliance certifications, and auditing features to ensure enterprise grade security and data governance.
Databricks accelerates data innovation by uniting data engineering, analytics,and AI, enabling faster decision making and unlocking new business opportunities globally.