Run ZenML ML Pipelines from Kestra on a Schedule

Run Airbyte Cloud syncs in parallel, then trigger a dbt Cloud transformation job once the data lands.

Turn plain-English questions into PostgreSQL queries with OpenAI GPT-4o, grounded on schema only so no row data ever leaves your database.

Incrementally push freshly updated Postgres rows into an Algolia search index every five minutes.

Trigger an Airbyte Cloud connection sync on a recurring schedule so your data lands fresh without manual runs.

Trigger an Apache Airflow DAG from Kestra and wait for it to finish.

Trigger multiple Airbyte connection syncs in parallel from a single Kestra flow to cut total ingestion time.

Run a ZenML flow from Kestra until its completion and stream logs in real-time