Bauplan vs Google Cloud Lakehouse for Apache Iceberg
Bauplan
bauplanlabs.com
Google Cloud Lakehouse for Apache Iceberg
cloud.google.comSide by side
| Figure | Bauplan | Google Cloud Lakehouse for Apache Iceberg |
|---|---|---|
| Price from | $700/mo | $0.04/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 11 |
| Spec score · Data Lakehouse Platforms | 8.3 (#5) | 9.0 (#2) |
| Headquarters | San Francisco, California, United States | Mountain View, California, United States |
| Security controls | The trust center lists encryption in transit, restricted production access, security monitoring, incident response, and data retention and disposal policies. | Google Cloud states that data is encrypted in transit and at rest and that access to encryption keys is audited. |
Plans
Google Cloud Lakehouse for Apache Iceberg
- Metadata storage free tierPriced on request
- Metadata storagePriced on request
- Table managementPriced on request
- Class A metadata accessPriced on request
- Class B metadata accessPriced on request
- Catalog federation metadata refreshPriced on request
- Metadata storage included tierFree
- Metadata storage overage$0.04 a month
- Lakehouse table management$0.12 a month
- Class B metadata access$0.90 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.
Google Cloud Lakehouse for Apache Iceberg
Google Cloud Lakehouse for Apache Iceberg is a web service for working with Apache Iceberg tables. Its listed capabilities include SQL analytics, ACID transactions, streaming ingestion, and a governance catalog, with both listed storage models and table-format categories supported. Charges are organized by metadata storage, table management, metadata access, and catalog federation refresh rather than a single stated plan price. Metadata storage includes 1 GiB free each month; additional storage starts at $0.04 per GiB per month. Table management starts at $0.12 per DCU-hour and includes storage optimization, adaptive file sizing, automatic clustering, garbage collection, and BigQuery metadata generation. Class A metadata access includes 5,000 free operations monthly, and Class B includes 50,000. Catalog federation metadata refresh lists 0 to 5,001 free operations per account each month. The service is paid overall and has no free plan, despite those component-level free allowances. Listed billing thresholds are above 5,001 operations for Class A and catalog refresh, and above 50,001 for Class B. Google was founded in 1998 and is headquartered in Mountain View, California.