---
id: dagster-fivetran
version: "0.29.18"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# dagster-fivetran — Package for integrating Fivetran with Dagster.

License: permissive · Maintenance: active · Downloads: 101.5K/mo

## What it is and what it does

dagster-fivetran bridges Fivetran's managed data connectors with Dagster's orchestration and asset management system. It allows you to define Fivetran-sourced data as Dagster assets using a declarative Python interface, so that data ingestion becomes part of your broader data pipeline orchestration rather than a separate system.

The package wraps Fivetran's connector and destination APIs into Dagster asset definitions, enabling you to schedule syncs, track lineage, monitor data quality, and coordinate Fivetran ingestion with downstream transformations—all within Dagster's unified control plane. It is designed for teams already using Dagster for orchestration who want to integrate Fivetran-managed connectors without building custom API wrappers.

Use it for:

- Orchestrate Fivetran connector syncs as part of a larger Dagster data pipeline, triggering downstream transformations automatically.
- Track data lineage from Fivetran sources through to final assets, maintaining end-to-end observability in Dagster's UI.
- Coordinate multiple Fivetran connectors and destinations within a single Dagster job, managing dependencies and scheduling.
- Define Fivetran-sourced tables as reusable Dagster assets for consumption by analytics, ML, or reporting workflows.
- Monitor Fivetran sync health and performance through Dagster's built-in observability and alerting framework.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Fivetran data connectors with Dagster's orchestration engine, enabling declarative asset definitions that automatically sync data from Fivetran sources.

Yes, if you are already using Dagster for orchestration and have Fivetran connectors you want to integrate into your asset graph. The package is actively maintained, has no known vulnerabilities, and low install friction. If you are not yet using Dagster or do not use Fivetran, it has no value.

## Install

pip install dagster-fivetran
uv add dagster-fivetran
poetry add dagster-fivetran

## Installing dagster-fivetran

Before you install: Low install friction with a single runtime dependency on dagster. The package is actively maintained with a release on 2026-08-14 and no known vulnerabilities.

License in practice: Apache-2.0 licensed, permissive terms allow commercial use, modification, and distribution with minimal restrictions—suitable for most production environments.

Quickstart:

pip install dagster-fivetran

import dagster as dg
from dagster_fivetran import build_fivetran_assets

fivetran_assets = build_fivetran_assets(
    connector_id="your_connector_id",
    destination_id="your_destination_id"
)

Requires Python 3.10 or later (up to 3.14); dagster must be installed as the sole runtime dependency.

Verify before relying:

- Specific Fivetran API authentication method and credential handling requirements.
- Whether the package supports incremental syncs or only full refreshes.
- Supported Fivetran destination types and any limitations.
- Performance characteristics for large-scale data volumes or connector counts.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 101.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

fivetran dagster integration, fivetran data pipeline orchestration, dagster fivetran assets, automated data sync orchestration, fivetran connector management, dagster data ingestion, fivetran asset materialization, data-orchestration, fivetran-integration, etl

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