Every week someone asks us: should I use Power BI or Excel? The answer is almost always both, but for different things. Understanding where each tool excels (no pun intended) will save you hours and produce better results.
Excel's strengths
Excel is unmatched for ad-hoc analysis, quick calculations, and one-off data exploration. When you need to throw together a quick pivot table, model a budget, or run a calculation you will never repeat, Excel is faster. It is also better for data entry, manual data editing, and building financial models with cell-level formulas. If your dataset fits in a single workbook and you are the only user, Excel is usually the right choice.
Power BI's strengths
Power BI shines when you need to connect multiple data sources, build dashboards that refresh automatically, and share interactive reports with a team. If your data exceeds a million rows, if you need a report that updates daily without manual work, or if ten people need to view the same metrics with different filters, Power BI is the clear winner. Its data model handles relationships between tables far more elegantly than VLOOKUP chains in Excel.
Data size: the practical limit
Excel can technically hold about 1.05 million rows per sheet, but performance degrades well before that. At around 100,000 rows with formulas, most workbooks slow down noticeably. Power BI handles tens of millions of rows without breaking a sweat because its engine compresses data in memory. If you are regularly working with datasets over 50,000 rows, Power BI will save you frustration.
Collaboration and sharing
An Excel file shared via email creates version control problems within hours. Even with SharePoint co-authoring, multiple people editing the same complex workbook is fragile. Power BI reports published to the Power BI Service are inherently collaborative: everyone sees the same data, filters are personal, and there is no file to email back and forth.
When to use them together
The most productive approach is using both tools in their sweet spots. Use Excel for data preparation, budget modeling, and ad-hoc analysis. Use Power BI for automated dashboards, KPI monitoring, and anything shared with more than two people. Power BI can even connect to Excel files as a data source, so your team can keep entering data in the spreadsheet they know while the dashboard updates automatically.
Cost comparison
Excel requires a Microsoft 365 license, which most organizations already have. Power BI Desktop is free. Power BI Pro, which lets you share reports, costs roughly $13 CAD per user per month. Power BI Premium starts at about $27 CAD per user per month with additional features. For most teams, the cost of Power BI Pro is far less than the time wasted on manual reporting.
The decision framework
Ask three questions. First: will more than two people consume this report? If yes, use Power BI. Second: does the data need to refresh automatically from a live source? If yes, use Power BI. Third: do I need to edit the data or build a one-off calculation? If yes, use Excel. For detailed data analysis training covering both tools, check out our [Power BI training](/courses/power-bi/) and [Excel training](/courses/microsoft-excel/) courses.