Bauplan vs Onehouse Cloud
Bauplan
bauplanlabs.comOnehouse Cloud
onehouse.aiSide by side
| Figure | Bauplan | Onehouse Cloud |
|---|---|---|
| Price from | $700/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Data Lakehouse Platforms | 8.3 (#5) | 7.4 (#12) |
| Company | Bauplan says it is a small engineering team based in New York and San Francisco. | Onehouse was founded by Vinoth Chandar and lists its address in Sunnyvale, California. |
| Headquarters | San Francisco, California, United States | Sunnyvale, California, United States |
| 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 presented for teams accelerating existing Spark workloads, reducing warehouse costs, or building a new analytics platform. |
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.
Onehouse Cloud
Onehouse Cloud is a managed lakehouse platform for analytics and AI that operates in a customer's virtual private cloud. It combines ingestion, compute, table services, query engines, and catalog synchronization for cloud-storage data. OneFlow incrementally writes Apache Hudi, Apache Iceberg, and Delta Lake tables. Quanton runs SQL, Spark jobs, and PySpark notebooks with autoscaling compute. Managed open-engine clusters support Trino, Apache Flink, and Ray. Automated table services are intended to improve query speed, with Onehouse stating results can be up to 10 times faster on tables. OneSync synchronizes metadata with Snowflake, Databricks Unity Catalog, Google Data Catalog, and AWS Glue. Onehouse says data remains in the customer's account and VPC, encrypted at rest and in motion. Project-level roles, audit logs, SOC 2 Type 1 and 2 certification, and PCI DSS compliance are listed. Usage-based billing uses Onehouse Compute Units, while cloud infrastructure is paid separately. A 30-day OneFlow trial includes $1,000 credit.