Comparing Hadoop vs. Traditional Databases for Big Data Processing
Introduction If you’ve ever worked with data — even just a little — you’ve probably used or at least heard of databases like MySQL, PostgreSQL, or SQL Server. They’re powerful, reliable, and everywhere. But in the last decade, something big has changed. We’ve gone from handling gigabytes of data to terabytes and petabytes — fast. And suddenly, those traditional databases that worked so well for years are struggling to keep up. Enter Hadoop — a name that pops up every time people talk about “Big Data.” But what is it really? How is it different from a regular database? And more importantly — when should you use Hadoop, and when should you stick with a traditional database? Let’s break it down, the simple way . Agenda Why Traditional Databases Still Matter Where They Start to Struggle What Makes Hadoop So Different Real-World Scenarios for Each Skills You’ll Learn from Working with Hadoop Whi...