Dagster is flexible and allows incremental adoption. It provides add-on libraries to integrate with your existing tools and infrastructure.
This section includes guides on how to use Dagster with other tools.
Name | Description |
---|---|
Dagster with dbt | Orchestrate dbt from Dagster. |
Dagster with Great Expectations | Run data quality tests using Great Expectations in a Dagster pipeline. |
Dagster with PySpark | Define and execute spark jobs in Dagster. |
Dagster with Pandas | How Dagster works with Pandas. |
Dagster with Jupyter/Papermill | How to orchestrate Jupyter notebooks from Dagster. |
Dagster with Airflow | Use Dagster in an Airflow cluster, or transform Airflow DAGs into Dagster pipelines. |
Here is a complete list of Dagster's integration libraries. See full documentation in API Reference.
Integration | Library |
---|---|
Airflow | dagster-airflow |
AWS | dagster-aws |
Azure | dagster-azure |
Celery | dagster-celery |
Celery + Docker | dagster-celery-docker |
Cron | dagster-cron |
Dask | dagster-dask |
Databricks | dagster-databricks |
Datadog | dagster-datadog |
Docker | dagster-docker |
dbt | dagster-dbt |
GCP | dagster-gcp |
Great Expectations | dagster-ge |
Github | dagster-github |
Kubernetes | dagster-k8s |
MySQL | dagster-mysql |
PagerDuty | dagster-pagerduty |
Pandas | dagster-pandas |
Papermill | dagstermill |
Papertrail | dagster-papertrail |
PostgreSQL | dagster-postgres |
Prometheus | dagster-prometheus |
Pyspark | dagster-pyspark |
Shell | dagster-shell |
Slack | dagster-slack |
Snowflake | dagster-snowflake |
Spark | dagster-spark |
SSH / SFTP | dagster-ssh |
Twilio | dagster-twilio |