Bauplan
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Bauplan firmographics
Firmographics- Name
- Bauplan
- Legal name
- Bauplan Inc.
- Website
- https://bauplanlabs.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Where Bauplan is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Bauplan business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Serverless Data Lakehouse Platform: Subscription-based pricing for serverless data lakehouse platform access, compute, and storage. Users pay for platform usage based on consumption of compute resources and data operations.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Quote-based enterprise pricing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels8 records
Bauplan product offering
Product offeringCore offering
Bauplan is a serverless data lakehouse platform that runs directly on customer S3 storage and lets developers and AI agents build, version, and deploy Python and SQL data pipelines with Git-style branching, transactional guarantees, and atomic rollback. It exposes a Python SDK and an MCP Server so AI assistants (Claude, Cursor, etc.) can safely scaffold and operate production-grade pipelines, while keeping data in open Apache Iceberg tables interoperable with Snowflake, BigQuery, Databricks, Athena, and Trino.
Product overview
Bauplan is a serverless data lakehouse platform that brings Git-style workflows to data, enabling AI agents and engineers to build, validate, and ship data pipelines on production data with full safety guarantees. The core platform runs Python and SQL functions as serverless compute over Apache Iceberg, providing Git-for-Data branching, Write-Audit-Publish validation patterns, and transactional consistency. Key products include the MCP Server (enabling AI assistants like Claude to interact with the lakehouse through natural language) and Agent Skills (markdown-based domain knowledge that lets LLMs scaffold production-grade pipelines). The Python SDK provides the programmatic interface, while serverless FaaS execution handles isolation and scaling without infrastructure management. The platform is interoperable with existing data tools including Snowflake, BigQuery, Airflow, Prefect, Temporal, and various BI/ELT tools.
Differentiator
Problem solved
Functional benefit
Products and services
- Bauplan Platform Serverless data lakehouse platform built on Apache Iceberg that lets developers and AI agents build, validate, and ship Python and SQL data pipelines on production S3 data with Git-style branching, transactional guarantees, and atomic rollback.
- MCP Server Model Context Protocol server enabling AI assistants such as Claude Desktop, Claude Code, and Cursor to access and interact with the Bauplan data lakehouse through natural language, providing data operations, infrastructure management via Git-for-Data branching, and pipeline execution.
- Agent Skills Markdown files that encode domain knowledge about Bauplan lakehouse workflows, enabling LLMs to scaffold production-grade data pipelines without hallucinating and to automate data engineering from feasibility assessment to production maintenance.
- Python SDK (bauplan package) Python SDK providing a Client class for catalog operations (branch/table methods), run/query/scan/import operations, and job management, with decorators (@bauplan.model, @bauplan.python, @bauplan.expectation) that define transformation pipelines and data quality checks.
Quantifiable outcome
- 10x performance improvement for media dashboards (load time reduced from 5+ minutes to ~6 seconds)
- +5 more outcomes
Companies that use Bauplan
Customer profileNamed customers6 records
Segments5 records
Ideal customer profiles5 records
Bauplan technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration18 records
AI capability4 records
Feature8 records
Bauplan partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered core and minor.
- Apache IcebergcoreCore technology partner. Bauplan is built on Apache Iceberg for transactional guarantees, schema evolution, and time travel. All data is stored as Iceberg tables.
- PrefectcoreIntegration partner for workflow orchestration. Published reference implementations for Write-Audit-Publish patterns combining Prefect and Bauplan.
- TemporalcoreIntegration partner for workflow orchestration. Mediaset migrated from Airflow/EMR to Temporal + Bauplan with significant performance improvements.
- SnowflakecoreIntegration partner. Bauplan tables can be accessed via Snowflake external Iceberg tables. Trust & Will keeps Snowflake as serving layer.
- AWS S3coreCore infrastructure partner. Bauplan runs directly on customer S3 buckets with no data copying into proprietary systems.
- Together AIminorResearch collaboration on AI agents in data systems. Co-authored papers on trustworthy AI agents and trust for AI agents in database systems.
- Apache DataFusioncoreCore technology partner. Bauplan migrated from DuckDB to Apache DataFusion for query engine, delivering ~2x faster query latency. Active contributor to DataFusion open-source ecosystem.
- Claude (Anthropic)coreAI integration partner. Bauplan MCP server enables Claude Desktop, Claude Code, and Cursor to interact with the data lakehouse through natural language.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
Bauplan competitors and assessment
Company assessmentDirect peers
- Starburst: Open data lakehouse platform built on Trino, offering federated query across Iceberg, Delta, and Hudi. Starburst competes in the same 'open lakehouse replacing monolithic warehouse' category with a similar enterprise GTM motion.
- Dremio: Open data lakehouse platform built on Apache Iceberg with SQL and Python query capabilities. Dremio is the closest direct competitor to Bauplan, offering a similar open-format lakehouse architecture with a focus on self-service analytics — both target the same 'escape Snowflake/Databricks' buyer.
Emerging players
- Coiled: Cloud-hosted Dask for scalable Python data science and analytics workloads. Coiled overlaps with Bauplan's serverless-Python-for-data-engineering positioning, particularly for data teams moving off Spark.
- MotherDuck: Serverless analytics platform combining DuckDB's embedded engine with cloud scale. MotherDuck targets similar serverless-Python-for-data workloads and shares the DuckDB engineering lineage that Bauplan migrated away from in late 2025.
- Modal: Serverless compute platform for Python and AI workloads with strong developer ergonomics. Modal competes for the same 'serverless Python for data + AI' workloads and shares Bauplan's PLG motion and Claude/AI coding agent integrations.
Broad incumbents
- AWS (Athena, EMR, Glue, Lake Formation): AWS's native serverless query (Athena), managed Spark (EMR), ETL (Glue), and lakehouse (Lake Formation) services are the incumbent stack Bauplan is replacing — Mediaset migrated off EMR, and Bauplan runs on S3, making AWS both the primary competitor and the foundational infrastructure partner.
- Google BigQuery: Google's serverless cloud data warehouse with Iceberg table support via BigLake/BigQuery Omni. BigQuery is a primary alternative for enterprise buyers evaluating Bauplan, with comparable serverless economics and broader Google Cloud ecosystem.
- Snowflake: Cloud data warehouse with growing Apache Iceberg support (Iceberg Tables, Snowpark, Polaris catalog). Snowflake is both a competitor and an integration partner (Trust & Will uses Snowflake as serving layer alongside Bauplan), representing the incumbent that Bauplan is partially displacing.
- Databricks: Dominant unified data and AI platform with Delta Lake (and now Iceberg support) and the largest enterprise data lakehouse installed base. Databricks is the broad incumbent competing for the same enterprise data platform budget, with vastly greater scale and a full SQL/ML/AI stack.
Others
- Prefect: Python-first workflow orchestration platform with a published Bauplan integration (WAP pattern reference implementation). Prefect is an ecosystem partner rather than direct competitor, but competes for the broader 'modern data stack tooling' budget of data engineering teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Bauplan social profiles
Digital presenceBauplan compliance and trust
Trust signalCompliance1 record
Bauplan financial estimates
Financial estimateRevenue estimate
Valuation estimate
Bauplan leadership team
Management profileNumber of profiles
Profiles3 records
Bauplan funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Bauplan M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Bauplan
What does Bauplan do?
Bauplan is a serverless data lakehouse platform that runs directly on customer S3 storage and lets developers and AI agents build, version, and deploy Python and SQL data pipelines with Git-style branching, transactional guarantees, and atomic rollback. It exposes a Python SDK and an MCP Server so AI assistants (Claude, Cursor, etc.) can safely scaffold and operate production-grade pipelines, while keeping data in open Apache Iceberg tables interoperable with Snowflake, BigQuery, Databricks, Athena, and Trino.
Is Bauplan a public or private company?
Bauplan is a private company. It is classified as venture growth investor backed and is currently operating.
When was Bauplan founded?
Bauplan was founded in 2022. It employs 11 to 50 people.
Where is Bauplan based?
Bauplan is headquartered in San Francisco, United States, in the North America region.
How does Bauplan make money?
One revenue line is on record: serverless Data Lakehouse Platform.
Who are Bauplan's main competitors?
Direct peers on record are Starburst and Dremio. Emerging players are Coiled, MotherDuck and Modal. Broad incumbents are AWS (Athena, EMR, Glue, Lake Formation), Google BigQuery, Snowflake and Databricks. Prefect is listed as an others.
Does Bauplan have an API?
Yes. Bauplan provides a Python SDK (bauplan package) as the primary programmatic interface, offering a Client class for catalog operations (branch/table methods), run/query/scan/import operations, and job management. The SDK supports authentication via environment variable (BAUPLAN_API_KEY), config file (~/.bauplan/config.yml), or direct API key. MCP Server is available as a bridge technology (MIT license, beta) enabling AI assistants (Claude Desktop, Claude Code, Cursor) to access and interact with the Bauplan data lakehouse through natural language, providing full lifecycle coverage including data operations, infrastructure lakehouse management via Git-for-data branching model, and pipeline execution. Developer documentation is at docs.bauplanlabs.com.