dbt-redshift
The Redshift adapter plugin for dbt
Decision gist · record as of 2026-08-14
Yes. dbt-redshift is actively maintained, has no known vulnerabilities, supports current Python versions (3.10, 3.11, 3.12, 3.13), and carries a permissive license. Install it if you use Amazon Redshift and want to adopt dbt's version-controlled, software-engineering approach to data transformation. It has low install friction and is backed by dbt Labs' ongoing development.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10.0 or later.
- You must have a running Amazon Redshift cluster and valid credentials configured in dbt's profiles.yml.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
permissive license (permissive) — Licensed under the permissive Apache Software License, which allows commercial use, modification, and distribution with minimal restrictions—suitable for most organizational and commercial projects.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 231 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,888,352 downloads/mo, #2,460 on PyPI
Alternatives
Verify before relying
pip install dbt-redshift
# In profiles.yml, configure your Redshift connection
my-redshift-db:
target: dev
outputs:
dev:
type: redshift
host: [hostname]
user: [username]
password: [password]
dbname: [database]
schema: [schema]
threads: [1 or more]
# Then run dbt commands
dbt run- Whether the adapter supports all Redshift-specific features (e.g., Spectrum, materialized views) beyond standard SQL transformations.
- Performance characteristics and any known limitations when working with very large datasets or complex dependency graphs in Redshift.
- Default port and connection parameters for Redshift connections.
What it is and what it does
dbt-redshift is a plugin that bridges dbt (data build tool) and Amazon Redshift, allowing data engineers and analysts to write transformation logic in SQL and YAML rather than managing warehouse operations manually. It extends dbt-core with Redshift-specific connection handling, query compilation, and schema management. The adapter sits between your dbt project and Redshift, translating dbt's declarative transformation models into native Redshift SQL and executing them in your warehouse.
You use it by installing the package, configuring your Redshift credentials in dbt's profiles file, and then writing dbt models (SQL files and YAML definitions) that describe how to transform raw data. dbt-redshift handles the plumbing: connecting to Redshift, running queries in the right order, managing schemas, and tracking lineage. It's part of the broader dbt ecosystem, which means you get version control, testing, documentation generation, and CI/CD integration for your data transformations—the same practices software engineers use for application code.
Use it for
- Build and version-control SQL transformation pipelines in Redshift using dbt's declarative model syntax and YAML configuration.
- Organize raw warehouse data into clean, denormalized analytics tables ready for BI tools and reporting.
- Implement data quality tests and generate documentation for your Redshift transformation logic automatically.
- Integrate Redshift transformations into CI/CD workflows to validate changes before deploying to production.
- Collaborate on data transformation code using Git workflows, code review, and dbt Cloud orchestration.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
dbt-redshift is actively maintained, has no known vulnerabilities, supports current Python versions (3.10, 3.11, 3.12, 3.13), and carries a permissive license. Install it if you use Amazon Redshift and want to adopt dbt's version-controlled, software-engineering approach to data transformation. It has low install friction and is backed by dbt Labs' ongoing development.
Install
dbt-redshift on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release 29 days ago and steady commit activity. Depends on dbt-core and dbt-adapters as core runtime dependencies, plus standard utilities like requests and sqlparse.
Requires Python 3.10.0 or later. You must have a running Amazon Redshift cluster and valid credentials configured in dbt's profiles.yml.
License in practice
Licensed under the permissive Apache Software License, which allows commercial use, modification, and distribution with minimal restrictions—suitable for most organizational and commercial projects.
Quickstart
pip install dbt-redshift
# In profiles.yml, configure your Redshift connection
my-redshift-db:
target: dev
outputs:
dev:
type: redshift
host: [hostname]
user: [username]
password: [password]
dbname: [database]
schema: [schema]
threads: [1 or more]
# Then run dbt commands
dbt runVerify before relying
- Whether the adapter supports all Redshift-specific features (e.g., Spectrum, materialized views) beyond standard SQL transformations.
- Performance characteristics and any known limitations when working with very large datasets or complex dependency graphs in Redshift.
- Default port and connection parameters for Redshift connections.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesagatedbt-adaptersdbt-commondbt-coredbt-postgresredshift-connectorrequestssqlparse |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,888,352 / month, #2,460 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: dbt_redshift-1.11.0-py3-none-any.whl
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