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 cl…
What Bauplan is
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 protect work on production data. Bauplan also supports AI agents that build pipelines, explore data, and manage a lakehouse through its MCP Server and Skills. Listed integrations include Airflow, Prefect, Dagster, Jupyter, Snowflake, BigQuery, Metabase, Fivetran, and Airbyte. Bauplan says customer data stays in the customer's S3 bucket, with PrivateLink or bring-your-own-cloud options. The free Sandbox uses a shared environment where all data is public, and the company recommends it for toy projects and demos rather than company data. Enterprise pricing is custom. Bauplan also states that it is SOC 2 Type II compliant.
Good
- Runs Python and SQL on Apache Iceberg tables
- No servers or clusters to manage
- Provides branching, isolated runs, publishing, and rollback
- Customer data can stay in the customer's S3 bucket
- Dedicated plan includes a 14-day free period
Watch out
- All Sandbox data is public
- Enterprise pricing is custom
Who it suits
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.
Verdict
Bauplan offers serverless pipeline execution and safeguards for work on production data. Its free Sandbox is for public data, while Dedicated is a paid option starting at $700 a month.
Plans and prices
From Bauplan's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Sandbox | Free | Shared Bauplan environment · public datasets or upload your own · full CLI, SDK and API · community support on Slack · everything is public |
| Dedicated | $700 a month | First 14 days free · dedicated private instance · data stays in your S3 · 10GB memory · unlimited queries, users and agents · private Slack support · SOC 2 Type II, GDPR compliance |
| Enterprise | Priced on request | 50GB+ memory · unlimited queries and users · dedicated customer support and forward deployed engineer · SOC 2 Type II, GDPR compliance · PrivateLink or BYOC · Custom pricing |
The facts
Each one read from Bauplan's own pages, with the date it was checked.
What it does
- AI workflows
- Bauplan says AI agents can build pipelines, explore data, and manage a lakehouse using its MCP Server and Skills.checked 30 Sep 2026
- Data privacy
- The platform page says customer data stays in the customer's S3 bucket and can be processed through PrivateLink or within the customer's VPC using BYOC.checked 30 Sep 2026
- Data safety
- Bauplan provides data branches, isolated runs, atomic publishes, and rollback for work on production data.checked 30 Sep 2026
- Execution
- Bauplan uses serverless function-as-a-service execution for Python pipelines and handles execution, isolation, and scaling.checked 30 Sep 2026
- Formats
- The platform stores data in object storage managed with Apache Iceberg and supports Python, SQL, and mixed workloads on the same tables.checked 30 Sep 2026
- Integrations
- Listed integrations include Airflow, Prefect, Dagster, Temporal, DBOS, Jupyter, Marimo, Streamlit, Snowflake, BigQuery, Metabase, Superset, Fivetran, and Airbyte.checked 30 Sep 2026
- Intended users
- Bauplan describes the product as an execution layer for developers and AI agents building, validating, and shipping data pipelines on production data.checked 30 Sep 2026
- Product
- Bauplan is a data lakehouse that runs Python and SQL pipelines directly on Apache Iceberg tables in a user's object storage, with no servers or clusters to manage.checked 30 Sep 2026
- Sandbox limit
- The pricing page says all Sandbox data is public and recommends using it for toy projects and demos rather than company data.checked 30 Sep 2026
- Security
- Bauplan states that it is SOC 2 Type II compliant and offers single-tenant deployment, PrivateLink, and bring-your-own-cloud options.checked 30 Sep 2026
- Security controls
- The trust center lists encryption in transit, restricted production access, security monitoring, incident response, and data retention and disposal policies.checked 30 Sep 2026
- Support
- The Sandbox includes community support on Slack, Dedicated has private Slack support, and Enterprise includes dedicated customer support and a forward deployed engineer.checked 30 Sep 2026
The company
- Company
- Bauplan says it is a small engineering team based in New York and San Francisco.checked 30 Sep 2026
- Headquarters
- San Francisco, California, United Stateschecked 28 Sep 2026
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