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SIDE B · TRACK 04

Duke vs.
ChatGPT Enterprise + Connectors.

Smart wrapper. Zero governance.

ChatGPT Enterprise with connectors looks like a shortcut. In practice: no Semantic Layer, no metric governance, hallucinated KPIs, data crossing the Atlantic.

THE MATRIX

DIMENSION
CHATGPT ENTERPRISE + CONNECTORS
DUKE
Primary surface
Chat, generalist
Chat + governed metrics + agentic
Semantic Layer
None, raw SQL on the fly
Central, typed, versioned
Natural language
Powerful but ungoverned
Constrained by Semantic Layer, opposable answers
Agentic execution (MCP)
Generic, no data lineage
Lineage from source → metric → action
Hosting
US (Azure)
EU only
Pricing
Per-seat + heavy usage costs
Per-seat, usage included

VERDICT

ChatGPT is brilliant for unstructured work. For numbers that go into board decks, you need a Semantic Layer, and Duke is built around one.

BEST FIT

Teams that tried 'ChatGPT on the warehouse' and got burned by hallucinated metrics.

See it for yourself in a 30-minute session.

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OTHER COMPARISONS

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