Treemap vs pie chart

Both show parts of a whole. The difference shows up at the tail: a pie turns a small category into an unlabellable sliver, while a treemap gives it a rectangle you can still write in. If your data spans an order of magnitude, that is the whole decision.

Both charts below are the same data — Cloud costs — so the difference you see is the chart type, not the numbers.

Pie chart

Compute €48KStorage €26KData transfer €14KManaged datab… €9KLogging €5KOther €3K

Use it when

  • Three or four categories of broadly similar size.
  • The reader should think in halves and quarters.
  • The chart is small and needs to read at a glance.
  • The whole is a familiar quantity, like 100%.
See pie chart examples →

Treemap

Compute€48KStorage€26KData transfer€14KManaged database€9KLogging€5K

Use it when

  • Five or more categories, or a wide spread between largest and smallest.
  • Labels and values need to sit inside the shapes.
  • The chart fills a rectangular slot on a dashboard.
  • You want the biggest contributor to be visually unavoidable.
See treemap examples →

Which one

Under five similar categories, use a pie. Beyond that, or whenever the biggest is more than about ten times the smallest, use a treemap — it keeps the small ones legible, which is precisely what a pie cannot do.

Questions people ask

Can people compare areas accurately?
Not precisely — area is a weaker visual encoding than length. Treemaps are for showing relative magnitude and structure, not for reading exact values, which is why the numbers belong inside the tiles.
When should I use a bar chart instead of either?
Whenever precise comparison matters more than the sense of a whole. Bars are read by length against a shared baseline, which is the most accurate encoding available.
Build either one free — no signup