As “big” data has grown, the options to make use of it have grown, especially in the Azure ecosystem. Databricks built on the original open source Spark engine was the primary method for years, but with the recent announcement of Microsoft Fabric, there are now more options, but how to know which to use.

Both Fabric and Databricks offer to solve a host of data problems and provide a unified platform for managing and utilizing all the data in your estate. This session aims to provide a comprehensive understanding of the strengths, weaknesses, and optimal use cases of both Azure Fabric and Databricks. We will explore various aspects, including scalability, performance, ease of use, integration capabilities, and cost-effectiveness. Knowing how both are positioned and how they compare will help enable you to make the best decision for which your organization should choose, ensuring efficient data management, processing, and analysis.