Bauplan vs OpenLake
Bauplan
bauplanlabs.com
OpenLake
openlake.coSide by side
| Figure | Bauplan | OpenLake |
|---|---|---|
| Price from | $700/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Data Lakehouse Platforms | 8.3 (#5) | 7.6 (#10) |
| Integrations | Listed integrations include Airflow, Prefect, Dagster, Temporal, DBOS, Jupyter, Marimo, Streamlit, Snowflake, BigQuery, Metabase, Superset, Fivetran, and Airbyte. | The platform provides Apache Superset dashboards and BI connectivity for Tableau and Power BI. |
| Intended users | Bauplan describes the product as an execution layer for developers and AI agents building, validating, and shipping data pipelines on production data. | The platform is aimed at analysts, engineers, and administrators, with the maker highlighting regulated, sovereign, classified, and multi-account organizations. |
| 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. | OpenLake bundles open-source data lakehouse components into a managed platform deployed inside the customer's cloud account. |
| Security | Bauplan states that it is SOC 2 Type II compliant and offers single-tenant deployment, PrivateLink, and bring-your-own-cloud options. | OpenLake describes end-to-end SSO with enforced MFA, role-based access, managed secrets, network isolation, and administrative audit logs. |
Plans
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.
OpenLake
OpenLake is a managed data lakehouse platform deployed in a customer’s cloud account, with API, self-hosted, and web access. It combines Trino, Apache Spark, Apache Iceberg, Apache Polaris, Apache Superset, PostgreSQL, Neo4j, Elasticsearch, and Polars. Its browser SQL workbench uses Trino and can draft queries from natural-language prompts grounded in readable catalogs. Teams can schedule and monitor ETL jobs written in Spark, Polars, Python, or Bash, including work on temporary Spark clusters. Analysts can launch preconfigured cloud workstations through a browser or native client over a secure tunnel without public exposure. OpenLake connects Tableau, Power BI, databases, APIs, S3 feeds, and files. It describes SSO with enforced MFA, role-based permissions, managed secrets, network isolation, and audit logs. Deployments can use customer-owned buckets, open Iceberg tables, streaming ingestion, governance catalogs, and offline artifacts in networks without internet egress. AI cataloging, natural-language querying, and incident-triage proposals are included. Pricing is on request.