Introduction
What Databaas is and how this documentation is organised.
Databaas is a data lakehouse you use through your browser. Your organisation’s data lives in Apache Iceberg tables on object storage; Databaas gives you one sign-in and the tools on top — a catalog to find tables, notebooks and SQL to query them, dashboards to publish results, and pipelines that keep the tables fed.
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
Quickstart
Sign in, find a table, and read it — start to finish.
Tour of the portal
The sidebar, service cards, search, and your user menu.
Core concepts
Lakehouse, Iceberg, warehouses, namespaces, and which engine to use.
Then find your section
| Section | What is in it | Go here if |
|---|---|---|
| Get started | Signing in, the portal, the vocabulary, and a first end-to-end session. | You are new, whatever your job. |
| Access | What 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 catalog | Browsing warehouses and tables, reading table details, and data grants. | You are looking for the right table. |
| Notebooks | Jupyter sessions, where your files live, Git, and querying tables from Python. | You analyse data in Python. |
| Pipelines | Watching and running the Airflow pipelines that load the tables. | You keep data flowing in. |
| Dashboards | SQL Lab, charts and dashboards. | You work in SQL, or you publish results. |
| Reference | Glossary, frequently asked questions, and known limits. | You want a term defined or an edge case confirmed. |