Google Sheets vs Excel: Differences and When to Use Each
Basics4 minInnovialabs editorial team
In short
Use Google Sheets for collaboration, forms, integrations and moderate data volumes, and Excel for heavy analysis, large files, Power Query and reliable offline work.
The short answer
- Google Sheets when several people work with the data at the same time, data flows in from forms and other services, and volumes are moderate.
- Excel when files are large, you need a complex model, pivot tables over hundreds of thousands of rows, Power Query, Power Pivot or VBA macros.
Many companies use both: Sheets for live working lists, Excel for deep analysis.
Comparison
| Criterion | Google Sheets | Excel |
|---|---|---|
| Data limit | 10 million cells per file | 1,048,576 rows and 16,384 columns per sheet |
| Collaboration | Native, in the browser, via a link | Co-authoring through OneDrive and SharePoint |
| Automation | Apps Script (JavaScript), macros | VBA, Power Query, Office Scripts on the web |
| Large files | Slows down well before the limit | The desktop app copes noticeably better |
| Offline | Offline mode in Chrome, must be enabled in advance | Full desktop application |
| External data | IMPORTRANGE, IMPORTXML, APIs via Apps Script | Power Query: databases, files, web sources |
Formulas and functions
Core functions match: SUM, IF, VLOOKUP, XLOOKUP, SUMIFS, FILTER, UNIQUE, SORT. The differences are in the specialized ones.
Only or mainly in Google Sheets:
- QUERY: SQL-like queries over a range;
- IMPORTRANGE: pull data from another spreadsheet;
- GOOGLEFINANCE, GOOGLETRANSLATE, IMAGE: built-in Google services.
=QUERY(A1:D, "select A, sum(D) where B = 'Tashkent' group by A", 1)
Excel strengths:
- Power Query: load and clean data from many sources without formulas;
- Power Pivot and the data model: relationships between tables and DAX measures;
- advanced pivot tables, slicers and what-if analysis.
Formulas do not always travel between the two: a function missing in the other app returns an error when the file is opened there.
Collaboration
In Google Sheets, several people edit at once, see each other's cursors, leave comments and browse version history. You can protect ranges and sheets so colleagues do not break formulas.
Excel co-authoring works when the file lives in OneDrive or SharePoint. Once files travel by email, copies like report_final_2.xlsx appear and there is no single source of truth anymore.
Automation
Apps Script is JavaScript in Google's cloud. It handles sending emails, generating documents from templates, calling APIs, and running on a schedule or on events such as a form submission. Scripts run on Google's servers even when your computer is off.
VBA is classic Excel macros. Powerful inside the desktop app, but it does not run in Excel for the web and needs macros enabled, which security policies often restrict.
Power Query is not programming but recorded data transformation steps. Update the source, click Refresh, and the report rebuilds.
How to choose
- How many people use the file at once? More than one or two points to Sheets.
- How much data? Tens or hundreds of thousands of rows with formulas point to Excel.
- Where does data come from? Forms, a CRM via API, other Google services point to Sheets. Databases and exports that need cleaning point to Excel with Power Query.
- Do you need offline? Regular work without internet points to Excel.
- What do partners use? If you receive complex .xlsx files with macros, you need Excel.
Common mistakes
- Keeping a large dataset with thousands of formulas in Sheets and wondering why it is slow. A spreadsheet is not a database.
- Emailing Excel files instead of using shared cloud storage.
- Running a critical process on a macro only one employee understands.