Introduction
Both Databricks and Azure Synapse Analytics are powerful data platforms for processing big data, analytics, and AI. However, they serve different purposes depending on business needs.
Databricks for AI and Big Data Processing
Databricks is built on Apache Spark and optimized for machine learning, data lakes, and AI-driven analytics. It excels in handling unstructured data and provides flexibility for data scientists working on predictive modeling and deep learning.
Azure Synapse for Data Warehousing and BI
Azure Synapse Analytics is a SQL-based platform designed for structured data and business intelligence. It is ideal for running large-scale data warehouses, integrating seamlessly with Power BI for real-time reporting and dashboarding.
Use Cases
E-commerce businesses use Databricks to analyze customer behavior, creating AI-powered recommendation engines. Financial institutions use Azure Synapse to consolidate transactional data and generate compliance reports, ensuring regulatory adherence.