Google Sheets is the default spreadsheet for teams that prioritize real-time collaboration, cross-platform access, and zero seat cost. Microsoft Excel is the gold standard for analytical depth — Power Query, pivot tables, DAX, VBA, and formula performance at scale are all materially better than Sheets. For most business teams doing collaborative data tracking, Sheets is the practical choice. For finance, operations, and analytics teams doing complex modeling, Excel's power is hard to replicate.
Quick comparison
| Feature | Google Sheets | Microsoft Excel |
|---|---|---|
| Starting price | Free plan | $7/mo |
| Free plan | Yes | No |
| Open source | No | No |
| Self-hostable | No | No |
| G2 rating | Not listed | Not listed |
| Best for | teams that prioritize real-time collaboration and free browser-based access | finance, operations, and data teams that need serious analytical depth |
| Starting price | Free plan available; paid tiers depend on usage and plan limits. | Paid plans start at $7/month. |
| Free plan | Yes | No |
| Open source | No | No |
| Self-hostable | No | No |
| Deployment model | saas | desktop |
| Best for | teams starting with spreadsheet software on a free plan | spreadsheet software teams starting around $7/month |
| Primary risk | Free-tier limits can hide the real cost until workflows reach production. | Paid tiers may become expensive as seats, usage, or governance needs grow. |
Formula engine and function coverage
Excel's formula engine is deeper. It includes dynamic arrays, XLOOKUP, LET, LAMBDA, and the full Power Query M language for data transformation — features that Sheets either lacks entirely or implemented later with less maturity. Excel's calculation engine handles millions of rows without the slowdowns Sheets experiences above 100,000 rows. For complex nested formulas, array calculations, or financial models with many interdependencies, Excel is materially more reliable and faster. Google Sheets has improved significantly and covers 95% of everyday spreadsheet needs. The gap matters most for financial modeling, actuarial work, or operational analytics where formula complexity and data volume push the edges of what Sheets can reliably handle.
Real-time collaboration
Google Sheets wins on collaboration decisively. Every sheet has a URL, sharing is a permission toggle, and multiple people see each other's cursors and changes in real time with no sync delay. Version history is automatic, granular, and named. Excel Online has improved but still lags: large files with complex formulas can conflict in co-authoring sessions, and the experience is noticeably worse than Sheets when two people edit the same area simultaneously. For teams where multiple people update a tracker, dashboard, or report throughout the day, Sheets' collaboration model eliminates the 'who has the file open?' friction that desktop Excel creates. This is the single biggest practical advantage Sheets has over Excel for team use.
Data analysis and pivot support
Excel's pivot table implementation is the standard by which others are measured: slicers, calculated fields, DAX measures in Power Pivot, and seamless integration with Power BI. Google Sheets' pivot tables are functional for basic aggregations but lack calculated measures, DAX, and the kind of multi-table data model that Excel's Power Pivot enables. For BI-adjacent work — aggregating large datasets, building interactive dashboards, or preparing data for executive reports — Excel's analysis toolchain is substantially more capable. Sheets' pivot tables are fine for tracking spend by category or summarizing survey responses. They fall short when analysts need the modeling depth that Excel's data model and Power Query provide.
Import, export, and compatibility
Excel's .xlsx format is the universal spreadsheet standard. Every financial system, ERP, data warehouse, and enterprise tool exports to .xlsx first. Google Sheets can import .xlsx files and export to them, but complex formatting, conditional formatting rules, and VBA macros do not survive the round-trip cleanly. For teams that receive spreadsheets from external vendors, auditors, banks, or enterprise systems, Excel's native format support eliminates conversion friction entirely. Google Sheets' import compatibility is good enough for simple data files but creates headaches when the file relies on Excel-specific features. For organizations where file exchange with external parties is frequent, Excel's native .xlsx advantage is practically significant.
Performance on large datasets
Excel handles large datasets significantly better than Google Sheets. A well-structured Excel file with 500,000 rows recalculates in seconds; the same data in Google Sheets causes noticeable UI lag and formula timeout errors. Excel's row limit is 1,048,576 rows; Sheets caps at 10 million cells total, which is a lower effective ceiling. For Power Query data transformations pulling from SQL or external sources, Excel processes data locally with full CPU resources rather than relying on Google's cloud servers. Teams working with large exports from CRMs, ERPs, or data warehouses will regularly hit Sheets' performance ceiling. Excel's local processing model is a genuine advantage for data-intensive workflows that Sheets cannot match at volume.
Cost and licensing model
Google Sheets is free with a Google account and included in Google Workspace at $6/user/month — a price that also covers Gmail, Drive, Docs, and Meet. Excel requires Microsoft 365 starting at $6-7/user/month for the online version or $10+ for desktop apps. For organizations already on Google Workspace, Sheets has zero marginal cost. For teams that only need a spreadsheet, the raw pricing is similar. The meaningful difference is that Sheets' free personal tier has no seat cost, making it accessible to small teams, freelancers, and early-stage startups without any procurement overhead. Excel's value proposition is strongest when the Microsoft 365 bundle is already in use and the analytical capabilities justify the licensing cost.
Pricing deep-dive
Google Sheets
- Free plan: available for evaluation or limited production use.
- Entry paid tier: starts from free with feature or usage upgrades on paid tiers.
- Pricing model: free; license is proprietary; deployment type is saas.
Microsoft Excel
- Free plan: not listed publicly.
- Entry paid tier: starts at $7/month.
- Pricing model: paid; license is proprietary; deployment type is desktop.
Pricing verdict: Google Sheets is free with a Google account. Excel requires Microsoft 365 starting at ~$7/month per user for online-only or ~$10/month for desktop. For teams already on Google Workspace, Sheets adds no cost. For teams already on Microsoft 365, Excel adds no cost either. The decision is rarely about price; it is about which toolchain you are already committed to.
How to migrate from Google Sheets to Microsoft Excel
What real users say
Google Sheets: Google Sheets users love the real-time collaboration, browser access from anywhere, and zero cost for personal use. Common complaints: slow performance on large datasets, formula limitations compared to Excel, and frustration when receiving complex Excel files that do not render correctly.
Microsoft Excel: Excel users praise its formula depth, Power Query, pivot tables, and the reliability of complex models. Common complaints: collaborative editing is inferior to Sheets, requires a paid Microsoft 365 license, and the desktop app is overkill for simple tracking tasks.
Sources: Pattern synthesized from catalog data, vendor positioning, and public review themes; verify on G2 or Capterra before quoting directly.
Final verdict
Choose Google Sheets if...
- Choose Google Sheets if your team collaborates in real time on shared trackers, reports, or dashboards and needs everyone to see live edits without version conflicts.
- Choose Google Sheets if your organization runs on Google Workspace and you want spreadsheets that integrate natively with Gmail, Drive, Forms, and Looker Studio.
- Choose Google Sheets if you are a small team, startup, or individual who needs capable spreadsheets at zero cost.
Choose Microsoft Excel if...
- Choose Microsoft Excel if you build complex financial models, operational plans, or analytical workbooks that require Power Query, Power Pivot, DAX, or VBA automation.
- Choose Microsoft Excel if your team works with large datasets (100k+ rows), receives .xlsx files from external systems, or needs performance that Google Sheets cannot reliably deliver.
- Choose Microsoft Excel if your organization already runs Microsoft 365 and you want deep integration with Power BI, Teams, and SharePoint.
Consider neither if: Consider neither if you need a database rather than a spreadsheet — Airtable, Notion, or a proper SQL database serve structured relational data better. For pure BI reporting, consider Looker, Metabase, or Power BI instead of either spreadsheet tool.