Side by side
Bauplan vs Datastrato Iceberg Lakehouse Platform
Both stand on data lakehouse platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APIWeb
Bauplan combines serverless pipeline execution with safeguards for production data and integrations across data tools. Its free Sandbox is public, while a private Dedicated instance starts at $700 a month.
Visit Bauplan
Free trial Open source APILinuxSelf-hosted
Choose Datastrato if your team needs a federated Iceberg catalog with governance spanning data clients, storage, and agent access. Its enterprise deployment and on-request pricing make it a better fit for organizations prepared to evaluate and run a Kubernetes-based platform.
Visit Datastrato Iceberg Lakehouse PlatformThe facts
| Bauplan | Datastrato Iceberg Lakehouse Platform | |
|---|---|---|
| Free plan | Yes | Not published |
| Open source | Not published | Yes |
| Runs on | API, Web | API, Linux, Self-hosted |
| Lowest paid plan | Dedicated: $700 a month | Free or on request |
| Plans published | 3 | 1 |
| Maker | Not published | Not published |
| Website | bauplanlabs.com | datastrato.ai |
| On data lakehouse platforms | #5 of 23 | #1 of 23 |
Bauplan: what it does well
- Runs Python and SQL pipelines on Apache Iceberg tables.
- Supports branching, isolated runs, atomic publishes, and rollback.
- Customer data stays in the customer's S3 bucket.
- Dedicated plan includes the first 14 days free.
What to know first
- Sandbox data is public.
- Dedicated costs $700 a month after its free period.
- Enterprise pricing is custom and not listed.
Datastrato Iceberg Lakehouse Platform: what it does well
- Registers multiple data sources in place without copying metadata.
- Supports Spark, Flink, Trino, Dremio, and BigQuery namespaces.
- Includes row filtering, column masking, and tag-based policies.
- Supports S3, GCS, and ADLS with scoped credentials.
- Maintenance jobs can be dispatched to Airflow, Kubernetes, EMR, or Databricks.
What to know first
- Enterprise pricing is available on request.
- Deployment requires a Kubernetes cluster and license key.
- Local evaluation also uses local Kubernetes.
- Audit reports and control documentation require NDA-gated access.
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