Automated Data Sync Between Airtable and PostgreSQL via n8n
Create an n8n workflow that keeps Airtable bases in sync with a PostgreSQL database, handling inserts, updates, and deletes bidirectionally.
Build a reliable bidirectional sync that maintains data consistency between a no-code frontend (Airtable) and a production database.
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Prompt objective
Build a reliable bidirectional sync that maintains data consistency between a no-code frontend (Airtable) and a production database.
Real use case
An operations team uses Airtable for daily task management but needs the data in PostgreSQL for analytics dashboards. Manual exports happen weekly and are always stale.
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Prompt
Act as a data integration engineer. Design an n8n workflow for [COMPANY NAME] that maintains bidirectional sync between Airtable and PostgreSQL.\n\n**Context:**\n- Airtable base: [BASE NAME] with [NUMBER] tables\n- PostgreSQL schema: [SCHEMA NAME] with matching tables\n- Sync frequency: every [MINUTES] minutes\n- Record volume: [NUMBER] records total\n- Conflict resolution: [AIRTABLE_WINS/POSTGRES_WINS/LAST_WRITE_WINS]\n\n**Deliverables (numbered):**\n1. Sync architecture: polling vs. webhook triggers, change detection strategy (updated_at timestamp vs. full diff)\n2. Insert handling: new records in Airtable to PostgreSQL and vice versa, with field mapping table\n3. Update handling: detect changed fields only, apply conflict resolution rules, log all changes\n4. Delete handling: soft deletes vs. hard deletes, tombstone tracking, cascade behavior\n5. Data type mapping: Airtable field types (single select, multi select, attachment, link) to PostgreSQL types (enum, array, JSONB, foreign key)\n6. Error recovery: failed sync retries, manual conflict resolution queue, sync status dashboard\n7. Performance: batch size optimization, indexing recommendations for PostgreSQL, Airtable API rate limit handling\n\n**Constraints:**\n- Must handle Airtable's 5 requests/second rate limit\n- Must support attachment field sync (download from Airtable, store in [CLOUD STORAGE], save URL in Postgres)\n- Must include a dry-run mode for testing
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