Introduction

What Databaas is and how this documentation is organised.

Databaas is a unified data and AI platform that you can deploy anywhere. On-premise, or on your cloud of choice:

The Databaas stack: your data sources load into the lakehouse (Iceberg, Zarr, DuckDB, Trino), orchestrated by Airflow with dlt, transformed and explored in Python and marimo, authorised through Zitadel, and published to dashboards, notebooks and agents.

What you can do with it

  • Find data. Browse warehouses, namespaces and tables in the Data Catalog, and preview rows without writing a query.
  • Query it. Read tables from a Python notebook, or write SQL against the lakehouse in SQL Lab.
  • Publish it. Build charts and dashboards in Superset for people who do not write queries.
  • Keep it current. Watch and run the Airflow pipelines that ingest and refresh the tables.
  • Control who sees what. Administrators grant access to features and to data from the portal.

Everything is reached from the portal at https://<your-databaas-domain>: you sign in once, and the features you may use appear in the sidebar. Features you have no permission for are not shown.

Start here

Then find your section

SectionWhat is in itGo here if
Get startedWhat the platform is, signing in, the portal, the vocabulary, and a first session.You are new, whatever your job.
AccessWhat each permission means, how features and data are gated, and how to grant both.You administer the platform, or something you expected is missing.
Data catalogBrowsing warehouses and tables, reading table details, and data grants.You are looking for the right table.
NotebooksJupyter and marimo sessions, your files, Git, reading and writing tables, IDEs.You analyse data in Python.
PipelinesRunning, writing and shipping the Airflow pipelines that load the tables.You keep data flowing in.
DashboardsSQL Lab, charts and dashboards.You work in SQL, or you publish results.
ReferenceGlossary, frequently asked questions, and known limits.You want a term defined or an edge case confirmed.