dagster-fivetran
Package for integrating Fivetran with Dagster.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (up to 3.14); dagster must be installed as the sole runtime dependency.
- 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 · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 licensed, permissive terms allow commercial use, modification, and distribution with minimal restrictions—suitable for most production environments.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 101,455 downloads/mo, #12,933 on PyPI
Alternatives
Verify before relying
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"
)- 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.
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 on this page. Verify before relying on it.
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
dagster-fivetran on PyPI
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.
Requires Python 3.10 or later (up to 3.14); dagster must be installed as the sole runtime dependency.
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"
)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 the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedagster |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 101,455 / month, #12,933 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_fivetran-0.29.18-py3-none-any.whl
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See also dagster-airbyte · dagster-rest-resources · fivetran-connector-sdk · dagster · dagster-webserver · dagster-dbt · dagster-pyspark · dagster-spark · dagster-aws · airflow-provider-fivetran-async