Bauplan
6.7#5 in data lakehouse platformsFrom $700 a monthFree planWebAPI
VisitBauplan vs Starburst Galaxy
Starburst Galaxy
7.1#2 in data federation softwareFree planFree planWebAPILinux
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| Fact | Bauplan | Starburst Galaxy |
|---|---|---|
| Headquarters | San Francisco, California, United States | Boston, Massachusetts, USA |
| Intended users | Bauplan describes the product as an execution layer for developers and AI agents building, validating, and shipping data pipelines on production data. | Starburst recommends Galaxy for organizations that do not yet have resources to manage complex data clusters. |
| 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. | Starburst Galaxy is a fully managed, cloud hosted analytics platform built on Trino for querying data across sources without moving it. |
| Security | Bauplan states that it is SOC 2 Type II compliant and offers single-tenant deployment, PrivateLink, and bring-your-own-cloud options. | Galaxy supports fine-grained RBAC and ABAC, end-to-end encryption, AI-powered data classification, and private connectivity; Starburst describes it as SOC 2 Type II certified and HIPAA-ready. |
| Support | The Sandbox includes community support on Slack, Dedicated has private Slack support, and Enterprise includes dedicated customer support and a forward deployed engineer. | Galaxy users can contact Starburst support professionals from within the product UI. |
Bauplan plans
- SandboxFree
- Dedicated$700 a month
- EnterprisePriced on request
Starburst Galaxy plans
- FreeFree
- ProPriced on request
- EnterprisePriced on request
- Mission-CriticalPriced on request
Pick Bauplan if…
Bauplan is aimed at developers and AI agents building, validating, and shipping data pipelines on production data. The Sandbox may suit demos and toy projects, while users handling company data should note that Sandbox data is public.
Pick Starburst Galaxy if…
It suits organizations that want to query data across sources without moving it and do not have resources to manage complex data clusters. Teams should account for usage-based billing when estimating costs.