Excel vs Google Sheets: Which Should You Use?

Choose Excel for heavy data work — large files, Power Query, complex models, and serious pivot analysis; choose Google Sheets when multiple people need to edit the same file at once or you're building lightweight shared trackers. Sheets wins collaboration, Excel wins power and scale, and most data-heavy teams end up using both.

Excel vs Google Sheets at a Glance

The gap has narrowed over the years, but it's still real: Excel handles far more data and has deeper analysis tooling, while Sheets is free and collaborative by default.

Factor           | Excel                     | Google Sheets
-----------------|---------------------------|---------------------------
Price            | Paid (Microsoft 365)      | Free with Google account
Max size         | 1,048,576 rows; fast at   | 10 million cells total;
                 | 100k+ rows                | slows well before that
Collaboration    | Good (365 co-authoring)   | Excellent, built-in
Data import/ETL  | Power Query (best-in-class)| IMPORTRANGE, connectors
Pivot tables     | Deep (Power Pivot, DAX)   | Basic but usable
Automation       | VBA, Office Scripts, Python| Apps Script (JavaScript)
Web data         | Limited natively          | GOOGLEFINANCE, IMPORTXML
Offline          | Native desktop app        | Limited offline mode

How Big Is the Performance Gap?

Excel comfortably works with hundreds of thousands of rows on a desktop, and Power Pivot pushes into the millions; Google Sheets caps at 10 million cells per file and gets sluggish long before the cap, especially with heavy formulas. If your workbooks regularly exceed 50-100k rows, Sheets will frustrate you.

Who Wins on Collaboration?

Google Sheets — it was built for it: live multi-cursor editing, comments, granular sharing, and version history work with zero setup, and "just open the link" beats emailing files every time. Excel's co-authoring through OneDrive/SharePoint has improved a lot but still assumes everyone is licensed and inside the same Microsoft tenant.

What Are the Big Feature Gaps?

The biggest one-sided feature is Power Query: Excel's built-in ETL tool imports, cleans, and merges data from files, databases, and APIs with refreshable, repeatable steps — Sheets has nothing comparable (see Power Query basics). On formulas, both now do dynamic arrays: Excel's FILTER, UNIQUE, and XLOOKUP spill natively, while Sheets historically leaned on ARRAYFORMULA and QUERY — and its SQL-like QUERY function is a genuine Sheets advantage Excel lacks. Sheets also wins on live web data with GOOGLEFINANCE and IMPORTRANGE linking between files.

Where Each One Wins

Excel wins for financial models, large datasets, repeatable data cleaning with Power Query, and anything that will be audited or handed to finance. Sheets wins for shared team trackers, forms-fed data collection, lightweight dashboards for stakeholders without Office licenses, and quick collaborative analysis where "everyone can open it" matters most.

Which Should You Choose?

Pick based on the heavier constraint: if the bottleneck is data size or analysis depth, use Excel; if the bottleneck is people editing together, use Sheets. Many teams standardize on both — Sheets as the shared front door, Excel for the heavy lifting — and since skills transfer almost entirely, learning one mostly teaches you the other. If your company already pays for Microsoft 365, Excel plus its co-authoring is usually enough.

Common Pitfalls

• Outgrowing Sheets silently: recalculation slows gradually until a tracker becomes unusable. Move to Excel or a database before you hit the wall.
• Emailing Excel files around: "final_v7_FINAL.xlsx" is a versioning bug. Use OneDrive/SharePoint links, or you've given up Excel's own collaboration.
• Rebuilding cleanup manually in Sheets: if you repeat the same import-and-clean steps weekly, that workflow belongs in Power Query.
• Assuming conversion is lossless: Power Query, VBA, slicers, and some formulas don't survive the .xlsx-to-Sheets round trip. Pick one home per file.