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Bauplan vs Databricks Notebooks

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Bauplan

6.7#5 in data lakehouse platformsFrom $700 a month
Free planWebAPI
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What both publish

FactBauplanDatabricks Notebooks
ExecutionBauplan 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.
HeadquartersSan Francisco, California, United StatesSan Francisco, California, United States
IntegrationsListed 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 controlsThe 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 plans

  • SandboxFree
  • Dedicated$700 a month
  • EnterprisePriced on request

Databricks Notebooks plans

  • Pay as you goPriced on request
  • Pay as you go—
  • Committed Use ContractsPriced on request
  • Committed Use Contracts—
  • Free EditionFree
  • Free trialFree

Pick Bauplan if…

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.

Pick Databricks Notebooks if…

Teams doing collaborative cloud data analysis; Users who need scheduled notebooks and Git diffs; Data work spanning several notebook languages

Charts they share