Power BI Alternative for Small Business: Pricing, Copilot Limits and When Excel Is Enough
Power BI is excellent for a company with an analyst to build and maintain it. Without one, the license is the cheap part: the modeling, the missing connectors and the Copilot capacity are where small businesses get stuck.
Power BI is the right tool when someone in the company will build and maintain a data model. Without that person, most small businesses are better served by asking questions in the Excel, Sheets and PowerPoint files they already use. Power BI Pro is $14 per user per month, and below F64 capacity every viewer needs it too. Copilot in Power BI is not included with Pro: it needs paid Fabric capacity. And several sources small businesses run on, including Shopify, Stripe, HubSpot and QuickBooks, have no native connector.
What Power BI costs
| Item | Price (Microsoft, November 2026) | What it gets you |
|---|---|---|
| Power BI Desktop | Free | Build reports on a Windows PC. Sharing needs a paid license. |
| Power BI Pro | $14 per user per month, billed yearly | Publish and share. Viewers need Pro too, below F64 capacity. |
| Premium Per User | $24 per user per month, billed yearly | Larger models, more refreshes |
| Fabric capacity (F2 and up) | Pay as you go or reserved | Required for Copilot. Copilot usage draws on it. |
Microsoft raised Pro from $10 to $14 and Premium Per User from $20 to $24 in April 2025. For a team of five who all open reports, Pro is $70 a month. Adding Copilot means adding Fabric capacity, priced separately on Azure, and the smallest F2 capacity runs to a few hundred dollars a month if it is left on around the clock.
Copilot in Power BI: what it needs
According to Microsoft’s Copilot documentation, Copilot can create and edit report pages, summarize reports, answer questions about data and write DAX. It needs paid Fabric capacity (F2 or higher) or Premium (P1 or higher), and “a Power BI Pro or Premium Per User (PPU) license alone isn’t sufficient.” The same page warns that a semantic model that has not been prepared for Copilot can lead it to “misinterpret the data and return generic or inaccurate results.” In other words, Copilot is an accelerator for a well-built model, not a substitute for building one.
What someone has to learn
Microsoft’s own training path splits getting started into three skills: Power Query to get and clean data, data modeling with relationships and calculations, and building visuals and reports. Calculations mean DAX once you go past the basics. None of it is unreasonable, and plenty of people learn it, but it is a skill set someone has to own. Reports built by a contractor and left alone tend to break at the first renamed column.
Two practical limits also matter in a small company. Power BI Desktop requires Windows, so Mac users author in the browser or a virtual machine. And on Pro, a dataset can be refreshed up to 8 times a day, against 48 on Premium.
Connectors for the systems small businesses use
Microsoft’s Power Query connector list includes Google Analytics, SQL databases, Salesforce, Snowflake and BigQuery. It does not list Shopify, Stripe, HubSpot, Google Ads, Meta Ads or QuickBooks. Those come in through a third-party connector, usually paid, or a CSV export that someone refreshes by hand. Check your own list before you budget: the gap is often where the real cost sits.
Power BI vs Excel
The usual split is fair: Excel for flexible work by one person on a known set of data, Power BI for shared, interactive dashboards over many sources, with permissions per viewer. Many teams use both. Power BI can also embed live report pages in PowerPoint, though the add-in button appears only in Windows desktop PowerPoint and viewers still need Power BI access.
The question to ask is where the numbers end up. If the answer is a monthly deck, a board pack or a spreadsheet a manager filters, a dashboard is an extra stop on the way there.
Where Quiriz fits instead
Quiriz is an AI analyst that works inside the files your team already uses. Connect sources (HubSpot, Shopify, WooCommerce, QuickBooks, Google Analytics, Google Ads, Meta Ads, Stripe, Klaviyo, Search Console, Harvest, PostHog and Bing Webmaster Tools) or upload spreadsheets, define each metric once in Company Context, and ask:
- In Excel:
=QUIRIZ.ASK("net sales by channel last quarter", "table"), refreshed when the data changes. - In PowerPoint or Google Slides: describe the monthly review and get the slides built from your data.
- In Slack: anyone can ask the same question and get the same number.
There is no data model to build and no DAX. Plans are $12, $30 or $60 a month, and connectors are read-only, refreshed daily, on paid plans.
When to stay with Power BI. If you have an analyst who owns a model, need row-level security for many viewers, run on a SQL warehouse, or want interactive dashboards people explore on their own, Power BI does that better and Quiriz is not trying to replace it.
Which to choose
- Power BI if someone will own the data model, your data sits in databases Microsoft connects natively, and people need to explore dashboards themselves.
- Quiriz if nobody has time to build a model, your sources are SaaS tools like Shopify, Stripe, HubSpot and QuickBooks, and the numbers end up in Excel, Sheets or a deck.
If ChatGPT is the other option you are weighing, see why ChatGPT gives different answers on the same spreadsheet.
Answers in Excel without building a model
Try the questions on sample company data with no signup, then connect your own sources.
Try Quiriz free →