DatriseAI-first ETL

Airtable to PostgreSQL Integration

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

How Datrise loads Airtable into PostgreSQL

Datrise syncs Airtable's bases, tables, records, fields, views, and linked records 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

Airtable: Spreadsheet-database hybrid for structured team data.

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

How Airtable entities map to PostgreSQL

Airtable entityPostgreSQL objectNotes
basesairtable_basesid PK · custom fields → jsonb columns
tablesairtable_tablesid PK · linked to airtable_bases
recordsairtable_recordsid PK · linked to airtable_bases
fieldsairtable_fieldsid PK · linked to airtable_bases

FAQ

How does Datrise handle Airtable'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 Airtable 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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