Orchestrating Pipelines with External Tools

External orchestration is a centralized platform for managing data workflows across various services. It allows you to define complex workflows as Directed Acyclic Graphs (DAGs) that run automatically, managing dependencies, retries, and monitoring.

This approach reliably coordinates Pipelines using time-based or event-driven triggers, allowing data teams to orchestrate multiple ETL jobs effectively. You can schedule Edge Pipelines using external workflow managers such as Apache Airflow.

This integration allows you to:

• Synchronize data ingestion with upstream tasks, such as file drops.

• Create end-to-end workflows to connect data syncs with downstream processes, including transformations, quality checks, and BI.

An end‑to‑end workflow would typically look like:

Start → Trigger Pipeline (sync/resync) → Monitor job status via Hevo APIs → Run dbt/warehouse/BI tasks → Send notifications → End

Hevo supports Apache Airflow through the Hevo Airflow Provider. In this setup, Hevo manages Pipeline execution and the job lifecycle, while the orchestrator handles workflow logic, such as task dependencies, scheduling, retries, and alerts.

Some common use cases, where you may want to use Hevo Airflow Provider are:

• Trigger sync or resync runs on Pipelines.

• Poll Hevo’s APIs for job status until completion.

• Run downstream tasks only after the Pipeline job finishes.

External orchestration determines when the Pipeline runs, but not how it behaves within Hevo. It is useful for coordinating tasks across various tools, setting custom schedules, or handling complex dependencies. If Hevo’s native scheduling suits your data flow needs, and the downstream tasks do not rely on data availability at the Destination, external orchestration might not be necessary.