Platform Docs¶
This is the documentation for the Sovereign Data Foundation’s platform solutions: a managed, per-customer data platform built on established open-source projects, run in our managed cloud or entirely on your own hardware. Pick a section below for the product you’re working with.
Sovereign Data Platform¶
The core product: interactive notebooks (JupyterHub) and BI/query serving (Trino) over a shared Delta Lake catalog, secured end to end by a single identity. It also includes Security Center, the platform’s self-service access-governance UI for Trino data products. See Sovereign Data Platform.
Apache Airflow¶
An optional, customer-scoped Apache Airflow instance for running those same pipelines unattended, on a schedule, in production — plus the platform’s own custom Airflow providers. See Airflow.
Scamander MDIF¶
The metadata-driven ingestion SDK the platform’s Spark pipelines run on: define your data model once, and it generates the facts/dimensions or Data Vault structure (and the pipelines that build them) for you, running unchanged on Microsoft Fabric, Databricks, or local Spark. See Scamander MDIF.