Bauplan vs Databricks Notebooks
Bauplan
bauplanlabs.comDatabricks Notebooks
databricks.comSide by side
| Figure | Bauplan | Databricks Notebooks |
|---|---|---|
| Price from | $700/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Plans published | 3 | 11 |
| Spec score · Data Lakehouse Platforms | 8.3 (#5) | 9.2 (#1) |
| 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. |
Plans
Databricks Notebooks
- Free EditionFree
- Pay as you goPrice not published
- Pay as you goPriced on request
- Committed Use ContractsPrice not published
- Committed Use ContractsPriced on request
- Free EditionFree
- Free trialFree
- Artificial Intelligence$0.07 a month
- Data Engineering$0.15 a month
- Data Warehousing$0.22 a month
In their own words
Bauplan
Bauplan is a data lakehouse for running Python and SQL pipelines directly on Apache Iceberg tables in a user's object storage, without managing servers or clusters. It uses serverless execution for Python pipelines and supports Python, SQL, and mixed workloads on the same tables. Data branches, isolated runs, atomic publishes, and rollback are intended to safeguard changes to production data. Bauplan also describes workflows where AI agents build pipelines, explore data, and manage a lakehouse through its MCP Server and Skills. Integrations listed include Airflow, Prefect, Dagster, Temporal, DBOS, Jupyter, Marimo, Streamlit, Snowflake, BigQuery, Metabase, Superset, Fivetran, and Airbyte. Bauplan says customer data stays in the customer's S3 bucket and offers PrivateLink or bring-your-own-cloud options. Its free Sandbox uses a shared environment where all data is public, which the company recommends for toy projects and demos rather than company data. Dedicated costs $700 a month after the first 14 days free and includes a dedicated private instance, data in the customer's S3, 10GB memory, and unlimited queries, users, and agents. Enterprise pricing is custom. Bauplan states that it is SOC 2 Type II compliant.
Databricks Notebooks
Databricks Notebooks has no write-up on Specifiction yet; its figures are above.