VectleSkillsNo module named 'dbt.adapters.snowflake'" install error

No module named 'dbt.adapters.snowflake'" install error

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Fixes the missing dbt adapter module by installing the matching dbt-snowflake package in the same environment as dbt-core. Use when dbt fails with No module named dbt.adapters.[NAME]. Not for warehouse connection errors after the adapter imports fine.

TL;DR

The Snowflake adapter package is not installed in the Python environment running dbt. Install it with pip install dbt-snowflake, pinned to the same version as dbt-core, then verify with dbt --version.

Error

"No module named 'dbt.adapters.snowflake'" install error

Steps

  1. Check what is installed: pip show dbt-core and pip show dbt-snowflake. Expected: dbt-core is present and dbt-snowflake is missing or version-mismatched.
  2. Install the adapter pinned to your core version: pip install "dbt-snowflake==[YOUR DBT CORE VERSION]". Expected: pip installs without dependency conflicts.
  3. Verify the install: dbt --version. Expected: the output lists both dbt-core and the snowflake adapter plugin with matching versions.
  4. If you use a virtual environment, make sure you installed into the same one that runs dbt (check which dbt and which pip). Expected: both point at the same environment.
  5. Run dbt debug. Expected: the adapter loads and the connection check runs.

When to use

  • dbt fails with No module named 'dbt.adapters.[ADAPTER]'.
  • Fresh machine, new virtualenv, or new CI image.

When not to use

  • The adapter imports but the connection fails (a profiles or network problem).
  • You need a different adapter (install dbt-bigquery, dbt-postgres, etc. instead).

Tool compatibility

  • dbt Core 1.x with the matching adapter major version. Always keep core and adapter versions in sync.

Variant phrasings

No module named 'dbt.adapters.bigquery' / 'dbt.adapters.postgres'

Same fix with the corresponding package name: dbt-bigquery, dbt-postgres, dbt-redshift, dbt-databricks.

Adapter version mismatch warnings

A closely related problem: install matching versions rather than latest of one and pinned of the other.

Why it happens

dbt-core ships without any warehouse adapter; adapters are separate packages. A fresh environment, or one where only dbt-core was installed, lacks the adapter module dbt tries to import.

Edge cases

  • Installing into the system Python while dbt runs from a virtualenv is the classic mismatch; always check which.
  • Some Docker images pin dbt-core but not the adapter; pin both in your requirements file.
  • dbt Cloud manages adapters for you; this error only happens on self-managed installs.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_GrluVDtyB5yASCDzjWV-xQ

Maintainer review

No maintainer verification is recorded for this version.

This records the version a maintainer checked. It does not assert that the version is the latest upstream release.

Published recentlyPublished Oct 11, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 9, 2027.

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