Power BI vs Tableau vs Python Dashboards

McTaba runs coding and data bootcamps in Kenya. This guide is written to be useful whether or not you ever join one.

Picture your finance lead on a Monday. She wants one screen showing cash collected, orders delivered and unpaid invoices by branch. Three tools can draw it: Power BI, Tableau, or a small Python app built with Streamlit.

They differ less in what they draw than in who can maintain them, what each seat costs and how they connect to your data. This page is for the HR, L&D or operations manager deciding what to train staff on, not for the developer choosing a library.

If you are an individual choosing what to learn for a job, read Power BI or Python for jobs in Kenya instead. The wider skills map sits in the data science career guide for Kenya.

Prices below are the list prices each vendor publishes, in US dollars, per user per month, billed yearly. Vendors adjust them and local checkout can differ by country, so confirm at purchase.

Tool and plan	Published price (USD)	What it means for a team
Power BI Free	0	Includes Power BI Desktop for one person. Sharing reports with colleagues needs an upgrade.
Power BI Pro	14 per user per month	Lets people publish and share. Viewers also need Pro in the usual setup.
Power BI Premium Per User	24 per user per month	Pro plus larger models and more frequent refreshes.
Tableau Creator	75 per user per month	For people who build the dashboards.
Tableau Explorer	42 per user per month	For people who explore and edit existing ones.
Tableau Viewer	15 per user per month	For people who only look.
Python with Streamlit	0 for the library	You pay for a developer's time and for hosting.

Sources: Microsoft Power BI pricing, Tableau pricing, Streamlit, checked on 3 November 2026. Microsoft's page notes that checkout prices can vary by currency, country and region. Tableau's tiers and minimum purchases are set by Tableau, so ask for a quote for your seat count.

Imagine a team of 12 where 2 build dashboards and 10 only look. On Power BI, all 12 seats sit on the Pro line. On Tableau, 2 sit on Creator and 10 on Viewer. Do your own sum with the published figures and add the build time for each route.

If you want your team trained on whichever route you pick, see our data analytics training for your team.

Power BI

A person who is comfortable with Excel pivot tables can build a first report in an afternoon. The harder skills are the data model (how tables relate) and DAX, its formula language. Plan a few weeks of practice before someone is trusted with the monthly board pack.

Tableau

Tableau rewards visual thinking. Drag a field onto a canvas and a chart appears. Staff with no Microsoft habits often find it more natural. Its calculations use their own syntax, so Excel formulas do not carry over directly.

Python and Streamlit

Here the dashboard is code. Someone writes pandas to prepare the data and Streamlit to show it. The skills are the ones taught in the pandas tutorial using a Nairobi shop's sales data. Fewer of your staff will qualify, but the ones who do can build anything.

Microsoft 365 fit

If your staff already sign in with Microsoft accounts and live in Excel and Teams, Power BI feels like a neighbouring room. Excel files, SharePoint folders and Teams channels connect to it directly. Check what your current Microsoft plan includes before buying seats, since bundles change.

Choose Python when the dashboard must do something a drag-and-drop tool cannot.

• Custom logic. A rule such as "flag any M-Pesa payment within two minutes of a reversal" is a few lines of code.
• Models inside the page. A forecast or fraud score computed live, then shown beside the numbers.
• Many viewers, few builders. A hosted Streamlit app has no per-viewer licence. You pay for hosting once.
• Your own data sources. Daraja callbacks, a WhatsApp inbox or a Postgres database connect through ordinary code.

The cost is a developer. If nobody on your team can maintain the app, it will break the week that person leaves. Our own programme teaches Power BI and Streamlit in the same phase (Data Handling, EDA and Business Intelligence), because teams often need both. If you want us to build a dashboard for you, that is studio work, not training.

Before any tool, check the data going into it. The data quality checklist for Kenyan teams comes first.

If your team...	Start with
Lives in Excel and Microsoft accounts, with a small budget	Power BI
Has many viewers who only look, and a few builders	Power BI or Streamlit, compared with the Tableau Viewer price
Wants polished visual exploration and has analysts who like it	Tableau
Needs models, custom rules or live data feeds	Python with Streamlit
Has no developer and no analyst yet	Power BI, plus training

We teach Power BI and Python, so be wary of our bias. Tableau is the better pick in several cases.

• Your analysts already know it. Retraining skilled people to save a licence fee rarely pays.
• Your parent company or a major client uses it, and reports must match.
• Your work is visual exploration of messy data, and chart finish matters to your audience.
• You are not tied to Microsoft accounts and see no benefit from that fit.

In those cases, buy Tableau seats and train on that. For everyone else, run a two-week trial of Power BI Free with one real report before spending anything. When you are ready for staff training on the tool you chose, our data analytics training for your team covers Power BI and Python.