Notion to Apache Superset Integration
AI-first ETL from Notion into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Notion into Apache Superset
Datrise syncs Notion's pages, databases, database rows, properties, blocks, and comments into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Notion: Connected workspace of docs and databases.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Notion entities map to Apache Superset
| Notion entity | Apache Superset object | Notes |
|---|---|---|
| pages | notion_pages | id PK · custom fields → flattened columns for the explore UI |
| databases | notion_databases | id PK · linked to notion_pages |
| database rows | notion_database_rows | id PK · linked to notion_pages |
| properties | notion_properties | id PK · linked to notion_pages |
FAQ
How does Datrise handle Notion's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Notion to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect Notion to Apache Superset the easy way
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