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Database

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

Keep Airtable and Supabase 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 Supabase

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

Developers sync Airtable with Supabase to pair a no-code editing surface with a developer-managed database backend. Airtable Records map to Supabase Tables, so product data edited in Airtable Views serves applications through Supabase, with Row Level Security Policies governing what the app exposes.

Stacksync syncs tables or collections between Airtable and Supabase 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 Let non-engineers manage app content in an Airtable Base while Supabase serves it in production.
  • 02 Mirror Supabase Views into Airtable Tables for operational review without SQL.
  • 03 Keep Row Level Security Policies as the enforcement layer while Airtable remains the editing layer.
  • 04 Consolidate several Airtable bases into one analytical database for reporting without manual CSV exports.

Common sync patterns

App content sync

Airtable Records and Fields replicate into Supabase Tables that the application reads, keeping content editing no-code.

Structured data mapping

complex Airtable Fields land in Supabase JSONB Columns, preserving nested values for queries.

User data visibility

selected attributes from auth.users sync into an Airtable Table so support can look up accounts in Views.

What you can sync between Airtable and Supabase

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 Supabase objects How this pairing syncs
Tables Map to sync tables; schema is readable through the base metadata endpoints. Tables Standard Postgres tables; the primary two-way sync target. 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 exposed to outbound syncs. 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. Database Functions Postgres functions that can transform or validate synced rows. Linked records is specific to Airtable and Database Functions to Supabase — 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. Storage Object Metadata File metadata rows that can be joined to synced application data. Attachments is specific to Airtable and Storage Object Metadata to Supabase — 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. Schemas Namespaces (public and custom) that scope sync access. Collaborators is specific to Airtable and Schemas to Supabase — 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. auth.users Managed authentication users, often mirrored into CRM or support systems. Bases is specific to Airtable and auth.users to Supabase — each maps to any object or custom field on the other side.

How changes propagate between Airtable and Supabase

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 Supabase 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 Supabase as a row-level write, with types converted between the two schemas.

Supabase Airtable Sub-second propagation

DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.

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.
  • Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Airtable ⇄ Supabase

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Airtable or Supabase 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 Supabase record.

Observability

Monitoring

Track your Airtable ⇄ Supabase 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 Supabase.

How the Airtable and Supabase 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

Supabase

Integration surface
Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
Authentication
Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
Change detection
Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
Capabilities
read · write · CDC · webhooks
Rate limits
SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works

How to connect Airtable to Supabase — 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 Supabase 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
    Supabase connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Airtable and Supabase 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 ⇄ Supabase
    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 Supabase
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Airtable and Supabase 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 575 integrations available for Airtable and Supabase.

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