Notion to Redash Integration
AI-first ETL from Notion into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Notion into Redash
Datrise syncs Notion's pages, databases, database rows, properties, blocks, and comments into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Notion: Connected workspace of docs and databases.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Notion entities map to Redash
| Notion entity | Redash object | Notes |
|---|---|---|
| pages | notion_pages | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Notion to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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