DatriseAI-first ETL

Notion to PostgreSQL Integration

AI-first ETL from Notion into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Notion into PostgreSQL

Datrise syncs Notion's pages, databases, database rows, properties, blocks, and comments into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Notion: Connected workspace of docs and databases.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Notion entities map to PostgreSQL

Notion entityPostgreSQL objectNotes
pagesnotion_pagesid PK · custom fields → jsonb columns
databasesnotion_databasesid PK · linked to notion_pages
database rowsnotion_database_rowsid PK · linked to notion_pages
propertiesnotion_propertiesid PK · linked to notion_pages

FAQ

How does Datrise handle Notion's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Notion to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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