Spotonix for dbt

Your dbt models are building blocks.
Spotonix composes them.

You've invested in dbt — clean models, tested transformations, a governed semantic layer. But business users still can't access it without SQL. Spotonix bridges that gap: business questions in, composed answers out, building on the definitions your analytics engineers already validated.

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The Gap

dbt made your data trustworthy.
Now make it accessible.

Models without consumers

You built beautiful, tested dbt models. But the business users who need them still file Slack requests and wait for an analyst to write SQL against them.

Metrics layer, not a knowledge layer

dbt's semantic layer defines metrics and dimensions. But it doesn't capture how those metrics compose into business analyses, or how analysts reason about them.

Text-to-SQL bypasses it all

Text-to-SQL tools ignore your dbt models entirely — generating raw SQL against the warehouse. All that semantic work? Bypassed. Metrics defined differently every query.

How It Works

dbt defines. Spotonix discovers and composes.

01

Connect

Spotonix reads your dbt project — models, metrics, semantic layer definitions, tests, and documentation. Your existing investment is the foundation.

02

Elevate

dbt models become Segments, Calculations, and Analysis Patterns in a composable Context Graph. Structure your analysts already created — now machine-discoverable.

03

Compound

Every question adds to the graph. New segments, calculations, and analysis patterns join the knowledge base permanently. dbt defines the foundation. Spotonix compounds it.

For Analytics Engineers

Define once. Discover everywhere.

Before Spotonix

"I defined customer_ltv in dbt. Then I got 4 Slack messages asking 'where's the LTV metric?' and 2 analysts recalculated it from scratch because they couldn't find my model."

With Spotonix

"I defined customer_ltv in dbt. Spotonix made it discoverable by name, pattern, and semantic similarity. When someone asks about customer value, it's found automatically — and reused, not recreated."

Your dbt investment,
compounded.

See how Spotonix makes your dbt models conversational and composable.

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