Post by Prateek Jalgaonkar

🚀Row vs Column Databases If you’re new to data, understanding how data is stored can save you a lot of headaches! Let’s break it down: 1️⃣ Row-Oriented Databases (Row Store) • Stores data row by row. • Perfect for transactions where you insert/update one row at a time. • Think: Banking transactions, e-commerce orders. • Example: MySQL, PostgreSQL 2️⃣ Column-Oriented Databases (Column Store) • Stores data column by column. • Ideal for analytics, aggregations, and reports across millions of rows. • Think: Sales dashboards, business intelligence, ad-tech analytics. • Example: Redshift, BigQuery, Snowflake 💡 Quick Tip: • Row Store = OLTP (fast for inserts/updates) • Column Store = OLAP (fast for analytics/aggregations) Real-world analogy: • Row storage is like storing entire files together. • Column storage is like storing all first pages together, then all second pages—fast if you only need specific pages! #DataAnalytics #DataEngineering #DataScience #BigData #Analytics #Database #SQL #DataWarehouse #ETL #OLTP #OLAP