Azure Databricks

Accelerate Insight with Databricks on Azure

Driving Intelligent Outcomes with Azure Databricks

Superior Price-Performance for SQL Workloads

Proven at Enterprise Scale

Seamless, Native Azure Integration

Core Capabilities of Azure Databricks

Collaborative Notebooks for Data Science and ML

Interactive notebooks are supported for Python, R, and SQL, with real-time collaboration, experiment tracking, and integrated ML workflows for accelerated model building.

Scalability and Performance for Complex Pipelines

Auto-scaling compute and performance-optimized execution engines provide consistent performance for high-demand data pipelines, from ingestion to real-time analytics and AI.

Scalability and Performance for Complex Pipelines

Auto-scaling compute and performance-optimized execution engines provide consistent performance for high-demand data pipelines, from ingestion to real-time analytics and AI.

Secure and Compliant Enterprise-Grade Environment

Built-in identity, access control, encryption of data, and support for leading standards provide enterprise-level security for all Azure Databricks workloads.

Collaborative Notebooks for Data Science and ML

Interactive notebooks are supported for Python, R, and SQL, with real-time collaboration, experiment tracking, and integrated ML workflows for accelerated model building.

Scalability and Performance for Complex Pipelines

Auto-scaling compute and performance-optimized execution engines provide consistent performance for high-demand data pipelines, from ingestion to real-time analytics and AI.

Scalability and Performance for Complex Pipelines

Auto-scaling compute and performance-optimized execution engines provide consistent performance for high-demand data pipelines, from ingestion to real-time analytics and AI.

Secure and Compliant Enterprise-Grade Environment

Built-in identity, access control, encryption of data, and support for leading standards provide enterprise-level security for all Azure Databricks workloads.