dbt Integration: Connect dbt to Analytify (2026 Guide)

A dbt integration with Analytify connects dbt to a governed analytics warehouse for unified BI. dbt is data build tool — the standard for SQL transformation in modern data stacks.

Bring dbt into your governed analytics warehouse with Analytify.

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Why Connect dbt to Analytify

Bringing dbt into Analytify gives you analytics on top of your team’s dbt usage — combined with the rest of your data stack for unified reporting:

  • Centralised dashboards combining dbt with finance, sales, support, product data.
  • Governed metrics so dbt-derived numbers agree across reports.
  • Joins between dbt data and other systems for cross-functional analytics.
  • Embedded dashboards surfacing dbt data to non-dbt-users in your team.

How to Set Up the dbt Integration

  1. Configure your dbt project to publish artifacts (`manifest.json`, `run_results.json`) to a location Analytify can read (S3, GCS, dbt Cloud API).
  2. For dbt Cloud: connect via API key.
  3. For dbt Core: point Analytify at the artifacts directory.
  4. Analytify reads dbt metrics, exposures, and tests; surfaces them in the semantic layer.
  5. Refresh on dbt run completion via webhook (dbt Cloud) or scheduled poll.

Sample Dashboards You Can Build

  • Engineering Throughput — issues created, resolved, time-in-status.
  • Cycle Time — lead time and cycle time by team and project.
  • Sprint Health — committed vs delivered, velocity trends.
  • Cross-Functional Dashboards — engineering metrics joined with product / customer data.

Ready to ship governed analytics on dbt?

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FAQs

Is the dbt integration native or warehouse-routed?

Native. Analytify connects directly to dbt using dbt manifest.json + run_results.json from dbt artifacts.

Can I run analytics queries on production dbt data without affecting performance?

For tool data, sync runs on a schedule, so production systems aren’t affected by analytical queries.

Multi-tenant / embedded analytics on dbt?

Yes via the Analytify embedded SDK with row-level security defined in the semantic layer.

Does this work with managed / cloud versions of dbt?

Yes — managed cloud variants of dbt are first-class supported.

14-day proof of concept on real data?

Yes — we connect Analytify to your dbt instance and build 3-5 priority dashboards on your real data within 14 days.

How long does rollout typically take?

2-4 weeks for first dashboards; 6-10 weeks for governed semantic layer + 5-8 priority dashboards.

Pricing impact?

No additional cost from {name}; only Analytify per-user pricing and (for database/file integrations) any cloud / storage costs you already pay.

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