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https://github.com/sdebruyn/dbt-timescaledb

The TimescaleDB adapter plugin for dbt
https://github.com/sdebruyn/dbt-timescaledb

dbt timescaledb

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The TimescaleDB adapter plugin for dbt

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README

        

# dbt-timescaledb


dbt logo


timescale logo

[![pdm-managed](https://img.shields.io/badge/pdm-managed-blueviolet)](https://pdm-project.org)
[![PyPI - Version](https://img.shields.io/pypi/v/dbt-timescaledb)](https://pypi.org/project/dbt-timescaledb/)
[![PyPI - License](https://img.shields.io/pypi/l/dbt-timescaledb)](https://github.com/sdebruyn/dbt-timescaledb/blob/main/LICENSE)
[![tests](https://github.com/sdebruyn/dbt-timescaledb/actions/workflows/test.yml/badge.svg)](https://github.com/sdebruyn/dbt-timescaledb/actions/workflows/test.yml)
[![codecov](https://codecov.io/github/sdebruyn/dbt-timescaledb/graph/badge.svg?token=7SLONAKRMD)](https://codecov.io/github/sdebruyn/dbt-timescaledb)

**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.

## TimescaleDB

**[Timescale](https://www.timescale.com/)** extends PostgreSQL for all of your resource-intensive production workloads, so you can build faster, scale further, and stay under budget.

## Supported versions

| Adapter versions | Supported dbt versions | Supported TimescaleDB versions |
| ----------------- | ---------------------- | ------------------------------ |
| 1.7.0a1 - 1.7.0a7 | 1.7.x | 2.12 - latest |
| 1.8.0a1 - 1.8.0a2 | 1.8.x - latest | 2.12 - latest |
| 1.8.0a3 - latest | 1.8.x - latest | 2.13 - latest |

The recommended versions of Timescale are TimescaleDB Community Edition or Timescale cloud. It is not recommended to use this adapter with TimescaleDB Apache 2 Edition. See the [TimescaleDB editions](https://docs.timescale.com/about/latest/timescaledb-editions/) page for more information.

## Features & documentation

[Read the documentation](https://dbt-timescaledb.debruyn.dev/) ([installation](https://dbt-timescaledb.debruyn.dev/installation/) | [usage](https://dbt-timescaledb.debruyn.dev/usage/)) for more information.

## Code of Conduct

Both dbt Labs and Timescale have published a code of conduct. Everyone interacting in this project's codebases, issues, discussions, and related Slack channels is expected to follow the [dbt Code of Conduct](https://docs.getdbt.com/community/resources/code-of-conduct) and the [Timescale Code of Conduct](https://www.timescale.com/code-of-conduct).