Databricks at Microsoft Fabric Community Conference
Immerse yourself in the future of data and AI

Databricks at Microsoft Fabric Community Conference 2024: Booth 301
Check out our sessions

Learn About the Power of Azure Databricks
Join the Day 1 Opening Keynote on Tuesday, March 26, at 8:30 AM PT to hear Databricks onstage with Arun Ulag, Corporate Vice President, Azure Data at Microsoft, to showcase the power of Azure Databricks for building AI applications together with Microsoft Fabric.
Microsoft and Databricks Have a Strategic Partnership
Microsoft and Databricks have teamed up to bring together the best of both companies to deliver a powerful and integrated analytics platform. With this partnership, customers can build and deploy advanced analytics and AI solutions at scale, using the best of Azure and Databricks.

Customers Trust Azure Databricks
Among the many reasons customers value Azure Databricks: it’s a powerful and integrated analytics platform that brings together the best of Microsoft and Databricks. Customers can use Azure Databricks to build and deploy advanced analytics and AI solutions at scale, all on a simple, open lakehouse.
Azure Databricks Is a Unique, First-Party Solution
Ease of provisioning: Azure Databricks can be provisioned directly from the Azure Portal like any other Azure service. This provides a unified portal to provision and administer Azure Databricks as well as other Azure services.
Integration with other Azure services: Azure Databricks integrates seamlessly with other Azure services, such as Azure Data Lake Storage, Azure Machine Learning and Azure Stream Analytics. This allows customers to build end-to-end analytics solutions within the Azure ecosystem.
Performance and scalability: Azure Databricks is designed to deliver high performance and scalability, allowing customers to process large volumes of data quickly and efficiently.
Security and compliance: Azure Databricks benefits from enterprise-grade Azure security, compliance and SLAs, providing customers with peace of mind when it comes to the security and governance of their data.