Bauplan vs DataChain

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.

DataChain is a Python library and context layer for organizing unstructured data for researchers and AI agents. It converts files from Amazon S3, Google Cloud Storage, Azure Blob Storage, local filesystems, and Hugging Face into typed, versioned datasets that can be queried. Its Dataset DB uses Pydantic schemas, versioning, and file references, while the Knowledge Base stores summaries, statistics, lineage, and code. Parallel Python pipelines can run locally or across distributed workers with asynchronous I/O and automatic checkpoints. An agent harness connects Claude Code, Cursor, and Codex through a local skill or Studio MCP. DataChain Studio adds job tracking, dataset management, experiment tracking, a model registry, team collaboration, a REST API, and GitHub, GitLab, and Bitbucket connections. Compute can run in a customer VPC, and on-premises deployment, role-based access, audit logs, and SSO/SAML are supported. The Open Source plan is free for one developer using local compute and millions of records. Teams costs what you agree with the maker and supports up to five users; Enterprise pricing is custom.