
Hadoop vs Databricks: Migration Strategy & Key Differences
Many organizations built their big data infrastructure on Hadoop over the past decade, but managing on-premise clusters and complex ecosystems has become increasingly expensive and difficult to scale. As data volumes grow and real-time analytics becomes essential, companies are looking for modern platforms that simplify data engineering, analytics, and machine learning workflows. This shift is driving growing interest in migrating


