Mammoth vs ChatGPT

Prep you ask for every run, or prep you write down once.

ChatGPT Work can turn a spreadsheet into an interactive dashboard and check the source on a schedule, flagging missing rows and mismatches as it goes. For a dashboard of your own, from a sheet you already have, that is a fast way to get there. The difference is where the preparation lives. In ChatGPT it lives in the prompt, and the model follows it again on every run. In Mammoth it is recorded once, as steps anyone on the team can read, review and re-run the same way every time.

Try Mammoth free See the comparison

Side by side

The same nine criteria we use on every comparison

Including the two where the answer doesn't favour us.

Mammoth compared with ChatGPT across nine criteria, as published October 2026
	Mammoth	ChatGPT
Time to first trustworthy dashboard	Around 15 minutes from raw data	Minutes, from a spreadsheet you point it at
Who can build one	Anyone on the team, in plain language	Anyone using ChatGPT Work, in plain language
Data preparation	Recorded steps that re-run the same way every time	Asked for in the prompt, and done again on every run
Where the data lives	Stored in Mammoth. 10 GB included on every paid plan	Your spreadsheet, Drive file or warehouse
Keeping numbers current	Scheduled refresh on every paid plan, event-driven on Enterprise	A scheduled task checks the source and updates the dashboard
Seeing how a number was made	Click any number for the rows behind it. Every pipeline step is readable	It can show the calculations behind the results, if asked
Working where you already ask questions	In Mammoth, where the data and the dashboard live	Inside ChatGPT. This is its core advantage
Entry price	Free tier, then $39/mo	Needs ChatGPT Work: check OpenAI's plans
Compliance	SOC 2 Type II, ISO/IEC 27001:2022, HIPAA, GDPR	Varies by vendor, edition and region: check their trust page

ChatGPT pricing and capabilities as published October 2026. If something here is out of date, tell us and we'll fix it.

Where the prep lives

Every dashboard needs its data prepared. The question is where that work lives.

With an AI assistant, the preparation is either a stack someone else built, or instructions the model follows again each time. In Mammoth it's recorded once, as steps anyone can read and re-run.

Claude Dashboards

Beta

Where the prep lives: Upstream, before Claude sees the data: in a warehouse, modelled with dbt or SQL by someone who writes it.
When the data changes: Each chart's query runs again against the warehouse.
Where the data lives: Your warehouse, or an app you've connected.

ChatGPT Work

Where the prep lives: In the prompt. The model is asked to check for missing rows and mismatches, and does it again on every scheduled run.
When the data changes: A scheduled task checks the source again and updates the dashboard.
Where the data lives: Your spreadsheet, Drive file or warehouse.

Mammoth

Where the prep lives: In a pipeline: steps recorded once, that anyone can read, review and re-run. Describe the change or pick a step.
When the data changes: The pipeline re-runs on its schedule, and every dashboard on it follows.
Where the data lives: In Mammoth. 10 GB is included on every paid plan.

Claude Dashboards and ChatGPT Work as described in Anthropic's and OpenAI's own documentation, read 17 October 2026. Both are new and change often.

Fair's fair