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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

Primary surface
CHATGPT ENTERPRISE + CONNECTORSChat, generalist
DUKEChat + governed metrics + agentic
Semantic Layer
CHATGPT ENTERPRISE + CONNECTORSNone, raw SQL on the fly
DUKECentral, typed, versioned
Natural language
CHATGPT ENTERPRISE + CONNECTORSPowerful but ungoverned
DUKEConstrained by Semantic Layer, opposable answers
Agentic execution (MCP)
CHATGPT ENTERPRISE + CONNECTORSGeneric, no data lineage
DUKELineage from source → metric → action
Hosting
CHATGPT ENTERPRISE + CONNECTORSUS (Azure)
DUKEEU only
Pricing
CHATGPT ENTERPRISE + CONNECTORSPer-seat + heavy usage costs
DUKEPer-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

INTERLUDEElectrophazz, les vibes du studio