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Cerium vs Looker.

Looker has the strongest governed semantic layer of the four. LookML is real engineering — version-controlled, reviewable, one definition of a metric across the business. Cerium agrees with the philosophy and disagrees about where it should stop. A governed metric is not the same thing as a governed explanation.

At a glance.

AttributeLookerCerium
CategoryGoverned BI with a modelled semantic layerDecision platform, downstream or upstream of BI
Where AI sitsAssistant over the LookML modelReasoning over your governed model
DeploymentGoogle Cloud hostedSaaS or full on-premise
Data layerModels what is in your warehouseReconciles what arrives before it reaches the warehouse
ModellingLookML, written by engineersModelled in the platform, reviewed by the business
Pricing modelPlatform plus per userPlatform and estate, quoted
Write-back to operationsNot a native capability — requires a separate integrationRead-and-write API to ERP, CRM and WMS
Best fitEngineering-led teams who want analytics as codeFirms whose reporting works but whose answers still take days

Accurate as of August 2026. Reviewed quarterly.

Where Cerium is stronger.

No modelling bottleneck

LookML is a specialist skill, and every new question becomes a ticket for the people who have it. Cerium's model is reviewable by the business, not just by engineers.

Governance upstream of the warehouse

Looker governs what your warehouse contains. If a price is missing or two sources disagree before that point, LookML models the problem faithfully.

On-premise, and migration

Full on-premise deployment, and your existing configuration migrates rather than being rewritten in a new modelling language.

Write-back to operational systems

Looker reads and models; writing a result back into an operational system is an integration project rather than a feature. Cerium's read-and-write API pushes the finding into the ERP, CRM or WMS, so the decision and the action live in the same place.

Conversational AI on your own model

Ask a plain-English question and get an answer derived from your governed model, your definitions and your data — not a generic language model reasoning over a dashboard.

Visualisations that build themselves

Looker requires LookML before a new view is possible. Vibe Studio generates the visualisation from a plain-English description using the governed model directly — no modelling work before the answer is visible.

Run both on the same question.

Bring a question your current stack takes days to answer. That is the fairest test there is.