Mammoth vs Claude Dashboards

A dashboard from your warehouse, or the work that gets data ready for one.

Claude Dashboards turn a question into a live dashboard, and they are quick and impressive once your data sits in a warehouse. Claude writes a query for each chart and runs it there. What it assumes is that someone has already loaded, cleaned and modelled that data. Mammoth is that work: it brings data in from files, apps and databases, prepares it in steps anyone can read, keeps it current, and publishes the dashboard on top, including custom charts you describe in words. Plenty of teams will use both.

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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 Claude Dashboards across nine criteria, as published October 2026
	Mammoth	Claude Dashboards
Time to first trustworthy dashboard	Around 15 minutes from raw data	Minutes, once the data is modelled in a warehouse
Who can build one	Anyone on the team, in plain language	Anyone on a paid Claude plan, in plain language
Data preparation	Recorded steps that re-run on new data	Done upstream, in dbt or SQL, before Claude sees the data
Where the data lives	Stored in Mammoth. 10 GB included on every paid plan	Your warehouse, or an app you've connected
Keeping numbers current	Scheduled refresh on every paid plan, event-driven on Enterprise	Queries run again against the warehouse, with the last refresh shown
Seeing how a number was made	Click any number for the rows behind it. Every pipeline step is readable	Click a chart to see its SQL
Working where you already ask questions	In Mammoth, or from Claude through the Mammoth connector	Inside Claude. This is its core advantage
Entry price	Free tier, then $39/mo	Included in paid Claude plans, in beta
Compliance	SOC 2 Type II, ISO/IEC 27001:2022, HIPAA, GDPR	Varies by vendor, edition and region: check their trust page

Claude Dashboards 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 If something here is out of date, tell us and we'll fix it.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