Excel vs Google Sheets for CSV Files: Which is Better? (2026)
Both Excel and Google Sheets can open, edit, and export CSV—but they behave differently with encoding, large files, and collaboration. This comparison covers features, use cases, and performance so you can choose the right tool for your CSV workflow. For conversion tools, see CSV to Excel and Excel to CSV.
Table of Contents
CSV is the common format for moving data in and out of spreadsheets. Excel is the desktop standard; Google Sheets is free, in the cloud, and built for sharing. For a primer on the format, see What is a CSV File? and How to Open CSV in Excel.
1. Why Compare Excel and Sheets for CSV?
Many teams use either Excel or Google Sheets as their main spreadsheet tool. Both support CSV import and export, but encoding handling, row limits, and collaboration differ. Choosing the right one saves time and avoids broken characters or truncated data. For format comparison (CSV vs Excel vs JSON), see CSV vs Excel vs JSON.
2. Feature Comparison Table
| Feature | Excel | Google Sheets |
|---|---|---|
| CSV import | Data → From Text/CSV, encoding/delimiter wizard | File → Import, upload or paste |
| CSV export | Save As → CSV UTF-8 or CSV (Comma delimited) | File → Download → CSV |
| Encoding | Choose in import; UTF-8 with BOM for export | Typically UTF-8 |
| Row limit | 1,048,576 rows | 10 million cells (fewer rows with many columns) |
| Collaboration | Co-authoring (Microsoft 365) | Real-time, share by link |
| Offline | Yes (desktop) | Limited (offline mode) |
| Cost | Paid (or Microsoft 365) | Free (with Google account) |
3. Use Cases: When to Use Which
Excel: Best when you work offline, need full control over encoding and delimiter on import, or rely on advanced formulas and pivot tables. Common in finance and reporting. Use CSV to Excel conversion when you need a proper .xlsx from CSV.
Google Sheets: Best when you collaborate in real time, share with non-Excel users, or want a free tool. Good for lightweight CSV viewing and editing; export to CSV for backups or integrations. For very large CSV (e.g. 1M+ rows), neither may be ideal—consider a dedicated CSV editor or scripted processing.
4. Performance and Row Limits
Excel: Up to 1,048,576 rows per sheet. Large CSV files (hundreds of thousands of rows) can be slow to open and scroll; filtering and formulas may lag. Google Sheets: 10 million cells total—e.g. ~1M rows with 10 columns. Very large imports can be slow or time out. For files near these limits, split the CSV or use a tool that streams rows (e.g. neatcsv for cleaning, then import a subset into Sheets or Excel).
5. Import and Export CSV in Each
Excel: Use “Data” → “From Text/CSV”, select the file, then choose encoding (e.g. 65001 UTF-8) and delimiter. Save As → “CSV UTF-8 (Comma delimited)” to avoid encoding issues when reopening. Google Sheets: File → Import → Upload (or paste). Choose “Replace spreadsheet” or “Insert new sheet”. Export: File → Download → Comma-separated values (.csv). For step-by-step Excel import, see How to Open CSV in Excel.
6. Summary: Which to Choose
Use Excel when you need offline work, strict control over CSV encoding and format, or you’re in an Excel-centric environment. Use Google Sheets when you need free, real-time collaboration and sharing. For conversion between CSV and Excel format, use CSV to Excel or Excel to CSV; for cleaning and validating CSV before import, use neatcsv.