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Database

Airtable to PostgreSQL integration — real-time, two-way sync

Keep Airtable and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Airtable and PostgreSQL

Keep Airtable and PostgreSQL synchronized in real time, across engines, regions, or services, in one or both directions.

Airtable and PostgreSQL pair a business-user workspace with a production-grade relational database: Airtable Records replicate into PostgreSQL Tables with proper Columns and Primary and Unique Keys, and Postgres data surfaces back into Airtable for editing. Teams use this to serve applications and analytics from SQL while keeping Airtable as the editing surface.

Stacksync syncs tables or collections between Airtable and PostgreSQL continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Query Airtable Bases with SQL joins and Materialized Views instead of scripted API pulls
  • 02 Give support teams an Airtable View over PostgreSQL Tables to fix records safely
  • 03 Preserve Airtable Linked records as relational keys across PostgreSQL Schemas
  • 04 Sync form-submitted records from Airtable into downstream systems like a helpdesk or marketing platform.

Common sync patterns

Base replication

Airtable Tables and Records land in a PostgreSQL Schema with typed Columns and enforced Primary and Unique Keys

Editable database front end

rows from PostgreSQL Views sync into Airtable Records that ops staff update in place

Reporting layer

Materialized Views over synced Airtable data power dashboards without hitting the Airtable API

What you can sync between Airtable and PostgreSQL

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Airtable objects PostgreSQL objects How this pairing syncs
Tables Map to sync tables; schema is readable through the base metadata endpoints. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Filtered subsets of a table that can scope which records a sync reads. Views Read-side projections used to expose joined or filtered data to a sync. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Linked records Cross-table references that carry relationships between synced tables. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Linked records is specific to Airtable and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. Sequences Generate surrogate keys for rows created by inbound syncs. Attachments is specific to Airtable and Sequences to PostgreSQL — each maps to any object or custom field on the other side.
Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Collaborators is specific to Airtable and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Bases Top-level containers; each base has its own API endpoint and schema. Materialized Views Precomputed result sets synced outward on a refresh schedule. Bases is specific to Airtable and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Airtable and PostgreSQL

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Airtable PostgreSQL Sub-second propagation

DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Airtable Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Airtable through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Airtable: The Web API enforces a per-base limit of 5 requests per second.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Airtable ⇄ PostgreSQL

Connect Airtable and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–PostgreSQL connection.

Real-time

Two-way sync

Changes in Airtable or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Airtable or PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Airtable or PostgreSQL record.

Observability

Monitoring

Track your Airtable ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Airtable and PostgreSQL.

How the Airtable and PostgreSQL connectors work

Airtable

Integration surface
REST API (per-base Web API plus metadata and webhooks endpoints)
Authentication
OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks
Change detection
Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour
Capabilities
read · write · CDC · webhooks
Rate limits
The Web API enforces a per-base limit of 5 requests per second.
Airtable setup guide

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Airtable to PostgreSQL — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Airtable and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Airtable connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Airtable and PostgreSQL objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Airtable ⇄ PostgreSQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Airtable PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Airtable and PostgreSQL integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 392 integrations available for Airtable and PostgreSQL.

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