Bauplan vs Oxen
Bauplan
bauplanlabs.com
Oxen
oxen.aiSide by side
| Figure | Bauplan | Oxen |
|---|---|---|
| Price from | $700/mo | $30/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 3 |
| Spec score · Data Version Control Tools | 8.4 (#10) | 7.9 (#18) |
| Headquarters | San Francisco, California, United States | 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 site describes Explorer as intended for individuals, students, and hobbyists; Hacker for small teams and larger projects; and Pro for complex projects with larger datasets. |
| 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. | Oxen.ai combines access to AI models with infrastructure to organize, version, collaborate on, and customize the data behind them. |
| Support | The Sandbox includes community support on Slack, Dedicated has private Slack support, and Enterprise includes dedicated customer support and a forward deployed engineer. | The Trust Center provides a Support Policy, and the documentation invites users to ask Oxen or its community questions through Discord. |
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.
Oxen
Oxen combines access to AI models with tools for organizing and versioning the data used with them. Its unified API provides more than 200 text, image, video, and audio models. Oxen versions prompts, media, labels, metadata, generated outputs, and training examples, and says it can scale to millions of files and terabytes of data. Teams can browse datasets, review generated work, experiment across branches, and track who changed what and when. Users can fine-tune supported open-source models on proprietary text, image, and video datasets. Data can be read or written through the Python API, HTTP API, command line, or open-source server. Private deployment is available in a customer’s VPC or fully on-premises. Explorer is free and includes unlimited public repositories and collaborators, five private repositories, up to three private collaborators, and 50gb each of storage and transfer. Hacker costs $30 a month; Pro costs $60 a month. Model inference is pay as you go; dedicated GPUs are charged per second and shut down after 15 minutes of inactivity.