CSV vs XML: Which Data Format Should You Use?

Understand the differences between CSV and XML, their pros and cons, and when to use each for your data exports.

Understanding the Basics

Both CSV and XML are plaintext formats used to transfer data between systems, but they take entirely different approaches to structuring that data.

CSV: The Lightweight Champion

CSV (Comma-Separated Values) represents data in a simple 2D grid. Each line is a row, and each comma denotes a column. It is incredibly lightweight, easy to read for humans, and ubiquitous in business software.

Pros: Very small file sizes, instantly readable by any spreadsheet app.
Cons: Cannot represent nested data (like an order containing multiple items).

XML: The Structured Heavyweight

XML (eXtensible Markup Language) uses tags (like HTML) to structure data. It can easily represent complex, nested hierarchies.

Pros: Can handle extremely complex data relationships and metadata.
Cons: Very bloated file sizes, extremely difficult to read as a human.

The Best of Both Worlds

Often, you receive an XML dump but you just want to view it as a simple table. Tools like csv.skin automatically detect repeating XML nodes and flatten them into a readable grid, allowing you to browse XML files just like you would a CSV!