Excel vs Google Sheets
Google Sheets for most people. Excel for large datasets, Power Query, and serious financial modeling. Here is the honest breakdown.
Excel has been the default spreadsheet for thirty years. Google Sheets has been free for fifteen. Most people using Excel today could switch to Sheets and never notice a meaningful difference, because most people use spreadsheets for lists, basic formulas, and simple charts. The people who genuinely need Excel know who they are — and for everyone else, paying for it is a tax on not having tried the free alternative.
Here is where each tool actually wins, with no filler.
At a glance
| Google Sheets | Microsoft Excel | |
|---|---|---|
| Price | Free (Google account) | $9.99/mo (M365) or $149.99 one-time |
| Offline | Requires Chrome extension | Native (desktop app) |
| Row limit | 10 million cells (roughly 500k rows) | 1,048,576 rows |
| Real-time collaboration | Excellent — best in class | Good (requires OneDrive/SharePoint) |
| Pivot tables | Good | Excellent |
| Power Query | No equivalent | Excellent |
| Macros / automation | Google Apps Script (JavaScript) | VBA (more powerful) |
| Python integration | No | Yes (M365 subscribers) |
| Add-ins / extensions | Limited | Extensive |
| Mobile app | Good | Good |
| Unique functions | GOOGLEFINANCE, IMPORTRANGE, GOOGLETRANSLATE | XLOOKUP, LET, LAMBDA, dynamic arrays |
Where Google Sheets wins
The single biggest advantage Google Sheets has over Excel is that it costs nothing. A Google account is free. Sheets opens in any browser on any device. There is no installation, no license, no renewal reminder. For individuals, students, freelancers, and small teams, this matters more than any feature comparison.
- Real-time collaboration: multiple people editing the same spreadsheet simultaneously, with each person’s cursor visible and changes appearing instantly. This is where Sheets is better than Excel. Excel’s co-authoring via OneDrive is good but has a perceptible lag and requires everyone to be in the right environment.
- Works everywhere: a Chromebook, a Linux machine, a borrowed computer, a tablet — Sheets works in any modern browser without installing anything. Excel requires a Windows or Mac desktop app for full functionality.
- IMPORTRANGE: this function pulls data from another Google Sheet directly into your current one. No copy-pasting, no manual updates. There is no native Excel equivalent without Power Query or VBA.
- GOOGLEFINANCE: live stock prices, currency rates, and historical market data, directly in a cell formula. Extremely useful for personal finance tracking and investment dashboards.
- Google Apps Script: free JavaScript-based automation that can trigger on form submissions, send emails, modify sheets, and connect to other Google services. Less powerful than VBA for spreadsheet operations but more capable for cross-product automation.
- Version history: every change is automatically saved and versioned. You can restore any prior state without manually saving a backup.
Where Excel wins
Excel’s advantages are real, but they are concentrated in a narrower set of use cases. If you work with large datasets, build financial models, or need to transform and clean data at scale, Excel is not just better — it is in a different category.
- Power Query: a built-in ETL tool (extract, transform, load) that connects to databases, APIs, CSV files, and dozens of other data sources, cleans the data, and loads it into Excel for analysis. This is exceptional for data analysts and business intelligence work. Google Sheets has no equivalent — you would need a separate tool like Airbyte or a custom script.
- Power Pivot and DAX: Excel can handle multidimensional data models with millions of rows using Power Pivot, using DAX formulas for analysis. This is business intelligence work typically done in dedicated BI tools. For users who need it, it is a major differentiator.
- Performance with large data: Google Sheets gets noticeably sluggish above 50,000 rows, and painful above 100,000. Excel handles the full 1,048,576 rows without breaking a sweat on a modern machine. If your work involves large datasets, this is not a minor issue.
- VBA macros: Visual Basic for Applications gives Excel a scriptable automation layer that has been battle-tested in enterprise environments for decades. Sheets’ Apps Script is more limited for pure spreadsheet manipulation.
- Python in Excel: Microsoft 365 subscribers can now write Python directly in Excel cells, using Pandas, NumPy, and other libraries. The output renders back into Excel as values or charts. This is a genuine competitive advantage over Sheets for data science workflows.
- Chart customization: Excel’s charting engine is more flexible and offers more chart types than Sheets. If you produce polished charts for reports or presentations, Excel gives you more control.
- XLOOKUP and dynamic arrays: Excel has been adding modern formula features (XLOOKUP, LET, LAMBDA, FILTER, SORT) that are genuinely powerful. Sheets has adopted some of these, but Excel still has the lead on advanced formula capabilities.
The collaboration reality
Sheets wins on collaboration when the team is working in Google Workspace. Excel wins on collaboration when the team is in Microsoft 365 with OneDrive or SharePoint configured correctly. The mistake is comparing Excel desktop (no real-time collaboration) to Sheets web (excellent real-time collaboration) — that comparison is unfair to Excel and misleads people into thinking Excel cannot be used collaboratively. It can. It just requires OneDrive.
For teams not on M365, the collaboration comparison is genuinely in Sheets’ favor.
The pricing math
Microsoft 365 Personal is $9.99/mo (or $99.99/yr), which includes Excel plus Word, PowerPoint, Outlook, and 1 TB of OneDrive storage. If you use more than one of those apps, the price is easier to justify. The perpetual license for Office Home and Student is $149.99 as a one-time purchase, but it does not include updates to new versions and lacks some M365-only features like Python in Excel.
Google Sheets is free. If you only need a spreadsheet, the cost comparison is straightforward.
When compatibility matters
If your workplace uses Excel and you need to exchange files regularly, compatibility is a real consideration. Google Sheets can open and export .xlsx files, but complex Excel features like Power Query transforms, pivot table formatting, and VBA macros do not survive the round-trip intact. If you are sending files back and forth with colleagues who are in Excel, you will hit friction. In that environment, Excel is the right choice regardless of the feature comparison.
Who should pick which
The verdict
Google Sheets for most people. If you have been paying for Microsoft 365 and only using it for Excel, open Sheets today, import your most-used spreadsheet, and see if anything breaks. For most use cases, nothing will.
Pay for Excel if your company runs on it, if you work with datasets that Sheets cannot handle without slowing down, or if Power Query has become part of your actual workflow. In those situations, Excel is not just a preference — it is the correct tool, and the cost is justified.



