dbt
Transform data in your warehouse with SQL
- Status
- Generally available
- Last checked
- Checked · Oct 15, 2026
- License
- Open source
- Pricing
- Free tier
What it is
dbt (data build tool) is the standard for data transformation in modern data stacks. It enables analysts and engineers to transform data in their warehouse by writing SQL select statements, with built-in testing, documentation, version control, and lineage tracking. Supports Snowflake, BigQuery, Redshift, Databricks, and more.
When it fits — and when it doesn’t
A good fit for
Analytics engineers and data teams who need reliable, tested, and documented data transformations
Look elsewhere if
Real-time streaming data or ETL extract/load steps (dbt handles the T in ELT)
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
No verified weaknesses on file yet. That’s a gap in our data, not a clean bill of health.
What it does well
SQL-based transformations
Built-in testing
Auto-documentation
Lineage graphs
Incremental models
dbt Cloud IDE
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- Hybrid
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up dbt
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for dbt’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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