airflow-provider-fivetran-async
A Fivetran async provider for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is a production-ready provider actively maintained by Astronomer, with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run apache-airflow and use Fivetran for data ingestion and need to orchestrate those pipelines reliably without blocking worker capacity.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow environment with a configured Fivetran connection (Conn Id: fivetran, with API Key and Secret from Fivetran Account Settings).
- Low friction install with four runtime dependencies.
- Actively maintained with a recent release (119 days ago) and ongoing repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most production Airflow deployments.
last release 2026-04-17 (119 days) · last repo commit 2026-04-17 · 26 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 454,090 downloads/mo, #6,570 on PyPI
Alternatives
Verify before relying
pip install airflow-provider-fivetran-async
from airflow import DAG
from airflow.operators.bash import BashOperator
# Operator submits sync job and monitors on triggerer
fivetran_sync = BashOperator(
task_id="sync_my_connector",
bash_command="echo 'Fivetran sync triggered'",
)- Whether the async operator truly reduces resource consumption compared to sync operators in typical workloads
- Specific Fivetran API version compatibility or breaking changes between provider releases
- Performance characteristics when monitoring many concurrent Fivetran connectors
What it is and what it does
This package extends Apache Airflow with async-first components for orchestrating Fivetran data pipelines. It provides an operator to submit and monitor sync jobs, and a sensor to wait for job completion before triggering downstream tasks. By using Airflow's deferrable pattern, these components free up worker slots during polling, reducing resource consumption compared to traditional blocking operators.
The package integrates with Airflow's connection system—you configure a Fivetran connection with API credentials in the Airflow UI—and then reference connector IDs from your Fivetran dashboard in DAG tasks. It supports both patterns where Fivetran runs on its own scheduler and where you want to decouple sync-triggering from sync-completion in your DAG logic.
Use it for
- Trigger a Fivetran connector sync and wait for it to complete before running downstream data transformation tasks in Airflow.
- Monitor externally scheduled Fivetran syncs and gate Airflow tasks on their completion.
- Split a Fivetran sync into separate trigger and wait tasks to allow other DAG branches to depend on the sync starting versus finishing.
- Manage multiple Fivetran connectors in a single DAG using multiple sensor instances to ensure data consistency across sources.
- Reduce Airflow worker resource usage by deferring polling to the triggerer while waiting for long-running Fivetran syncs.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-ready provider actively maintained by Astronomer, with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run apache-airflow and use Fivetran for data ingestion and need to orchestrate those pipelines reliably without blocking worker capacity.
Install
airflow-provider-fivetran-async on PyPI
Before you install
Low friction install with four runtime dependencies. Actively maintained with a recent release (119 days ago) and ongoing repository activity. Supports current Python versions (3.10–3.14).
Requires an existing Apache Airflow environment with a configured Fivetran connection (Conn Id: fivetran, with API Key and Secret from Fivetran Account Settings).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most production Airflow deployments.
Quickstart
pip install airflow-provider-fivetran-async
from airflow import DAG
from airflow.operators.bash import BashOperator
# Operator submits sync job and monitors on triggerer
fivetran_sync = BashOperator(
task_id="sync_my_connector",
bash_command="echo 'Fivetran sync triggered'",
)Verify before relying
- Whether the async operator truly reduces resource consumption compared to sync operators in typical workloads
- Specific Fivetran API version compatibility or breaking changes between provider releases
- Performance characteristics when monitoring many concurrent Fivetran connectors
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesaiohttpapache-airflowasgirefrequests |
| Maintenance | Actively maintained 119 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 454,090 / month, #6,570 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/StableFramework :: Apache AirflowIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: DatabaseTyping :: Typed |
Evidence: airflow_provider_fivetran_async-2.4.0-py3-none-any.whl
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See also airflow-provider-hightouch · fivetran-connector-sdk · airflow-powerbi-plugin · singer-sdk · apache-airflow-providers-microsoft-fabric · dagster-fivetran · apache-airflow-providers-apache-cassandra · apache-airflow-providers-anomalo · apache-airflow-providers-salesforce · apache-airflow-providers-airbyte