From the shape to the cause
Tableau shows you the dip beautifully. Cerium tells you which desks, fees, periods and positions produced it, computed the same way every time.
Compare
Cerium vs Tableau.
Tableau is the best visual analysis tool in the category and has been for a decade. If the job is exploring data visually and finding the shape of a problem, nothing is more pleasant to use. Cerium starts where that exploration ends — when you have seen the shape and need to know what caused it.
At a glance.
| Attribute | Tableau | Cerium |
|---|---|---|
| Category | Visual analytics and exploration | Decision platform, downstream or upstream of BI |
| Where AI sits | Tableau Agent and Pulse over published sources | Reasoning over your governed model |
| Deployment | Cloud or Tableau Server on-premise | SaaS or full on-premise, same product |
| Data layer | Live connections and extracts | Reconciles sources, flags contradictions, full lineage |
| Governance | Certified sources and data management add-on | One governed model, row-level security at the layer |
| Pricing model | Per user by role, plus add-ons | Platform and estate, quoted |
| Write-back to operations | Not a native capability — requires a separate integration | Read-and-write API to ERP, CRM and WMS |
| Best fit | Analysts who explore visually and publish what they find | Firms whose reporting works but whose answers still take days |
Accurate as of August 2026. Reviewed quarterly.
Where Cerium is stronger.
Extracts and reconciliation
Extract sprawl is how a firm ends up with six versions of a number. Cerium governs at the data layer, so there is nothing to extract and nothing to reconcile afterwards.
Decision aids, not dashboards
Forecasts, ranked drivers, flagged exceptions and a recommended action, rather than another view for someone to interpret.
Write-back to operational systems
Tableau reads. Getting a result into an operational system means an integration somebody has to build and then own. Cerium's read-and-write API pushes findings into the ERP, CRM or WMS directly, so the analysis ends where the work happens rather than in a view.
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
Tableau's interaction model is excellent for exploring data visually, but someone still has to build the view. Vibe Studio generates the visualisation from a description, so the exploration and the output happen in the same step.
Run both on the same question.
Bring a question your current stack takes days to answer. That is the fairest test there is.