Count vs Deepnote
Data teams choosing between a shared canvas for live SQL investigation and a real Python notebook they can hand to a colleague, not a chat transcript to trust.
The difference that matters
Count is a freeform canvas where SQL, Python, charts and text sit side by side, and multiple AI agents can investigate different questions in the same canvas at once, visible to the whole team. Deepnote is a linear Jupyter-compatible notebook, existing .ipynb files open and run without conversion, and its agent edits any block in the notebook with before-and-after diffs you approve, rather than only appending to the end.
Side by side
| Count | Deepnote | |
|---|---|---|
| Free tier | Up to 3 editor seats, CSV database connections only, 3 canvases, community support | Free forever: 3 editors, 5 projects, limited Deepnote AI, unlimited 5 GB RAM / 2 vCPU machines, 7-day revision history |
| Entry paid plan | $49/editor/mo | $39/editor/mo billed yearly (Team) |
| Bills in | not stated | editor seats plus monthly compute and AI credit allowances |
Choose Count if
A team wants a shared whiteboard where several people (and several agents) can chase different angles on the same live database at once, with charts and text living next to the query.
Choose Deepnote if
You need output that is actually a rerunnable Python notebook, drop-in compatible with existing .ipynb files, that a data scientist colleague can open in real Jupyter and trust.
Our verdict
Count for collaborative, multi-agent SQL exploration across a team. Deepnote for portable, real Python notebooks that need to survive outside the tool.
What to watch out for
Both pricing pages match the site's verified data exactly: Count is free for 3 editor seats (CSV-only, 3 canvases) then $49/editor/mo for Pro, with a $69/editor/mo Scale tier requiring a 15-seat minimum. Deepnote is free for 3 editors and 5 projects (10 AI completions/month) then $39/editor/mo for Team, billed yearly, a 20%-off annual rate rather than the month-to-month price. Both Enterprise tiers are custom quotes.
Compare against the rest
Both of these sit in the full Data & Analysis directory, which covers 5 tools.
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