Use SQL for querying large, structured datasets efficiently..Choose SQL when joining multiple relational tables quickly..Pick SQL for aggregations like sums, counts, and averages..Go with SQL when speed and scalability are essential..Use Pandas for flexible, custom data transformations..Choose Pandas for visualization with Matplotlib or Seaborn..Pick Pandas for statistical analysis and machine learning prep..Use Pandas when working with CSVs or small in-memory data..Combine both: filter in SQL, then analyze deeper with Pandas..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp