Query Dremio and Transform with Polars in Kestra

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

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

Turn any PDF, web page, or text document into structured JSON with OpenAI GPT-4o, then store the results in PostgreSQL and Slack.

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

Forecast 7-day demand with OpenAI GPT-4o, auto-generate purchase orders for stockout-risk SKUs, and log them to PostgreSQL every 6 hours.

Run parallel Airbyte syncs, then transform raw data with dbt Core, all in one orchestrated ELT pipeline.

Query data from Dremio and process it in Polars with a Python script