
Bauplan
6.7#5 in data lakehouse platformsFrom $700 a monthFree planWebAPI
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| Fact | Bauplan | Databricks Notebooks |
|---|---|---|
| Execution | Bauplan uses serverless function-as-a-service execution for Python pipelines and handles execution, isolation, and scaling. | Users can run individual cells, groups or whole notebooks interactively, and schedule notebooks as jobs. |
| Headquarters | San Francisco, California, United States | San Francisco, California, United States |
| Integrations | Listed integrations include Airflow, Prefect, Dagster, Temporal, DBOS, Jupyter, Marimo, Streamlit, Snowflake, BigQuery, Metabase, Superset, Fivetran, and Airbyte. | Databricks offers native cloud integrations for AWS, Azure and Google Cloud, including marketplace or console deployment paths. |
| Security controls | The trust center lists encryption in transit, restricted production access, security monitoring, incident response, and data retention and disposal policies. | The trust center lists encryption, network controls, auditing, identity integration, access controls and data governance. |
Bauplan is aimed at developers and AI agents building, validating, and shipping data pipelines on production data. The Sandbox may suit demos and toy projects, while users handling company data should note that Sandbox data is public.
Teams doing collaborative cloud data analysis; Users who need scheduled notebooks and Git diffs; Data work spanning several notebook languages