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Database

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

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

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect Airtable and MySQL

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

Teams sync Airtable with MySQL when a base built by business users needs to power applications: Airtable Records map to rows in MySQL Tables, with Primary and Unique Keys enforcing row identity. The reverse direction gives operators an editable interface over existing MySQL Databases (Schemas).

Stacksync syncs tables or collections between Airtable and MySQL 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 Serve Airtable-managed content to an application from MySQL instead of the Airtable API
  • 02 Let non-engineers correct MySQL data through Airtable Views without SQL access
  • 03 Enforce Primary and Unique Keys on data that originates in an Airtable Base
  • 04 Write cleaned records edited in Airtable back to the source system of record, keeping both sides consistent in near real time.

Common sync patterns

Base-to-database replication

Airtable Tables and Records sync into MySQL Tables with Columns typed from Airtable Fields

Editable admin layer

rows from MySQL Views surface as Airtable Records that ops staff update, writing back through Primary and Unique Keys

Flexible fields

Airtable Linked records and multi-value Fields persist into MySQL JSON Columns

What you can sync between Airtable and MySQL

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 MySQL 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 to records in connected 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 as outbound sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. Columns Field-level mapping targets with engine-typed values. Fields is specific to Airtable and Columns to MySQL — each maps to any object or custom field on the other side.
Linked records Cross-table references that carry relationships between synced tables. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Linked records is specific to Airtable and Primary and Unique Keys to MySQL — 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. JSON Columns Validated semi-structured payloads for nested SaaS data. Attachments is specific to Airtable and JSON Columns to MySQL — 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. Stored Procedures Server-side logic that can post-process synced rows. Collaborators is specific to Airtable and Stored Procedures to MySQL — each maps to any object or custom field on the other side.

How changes propagate between Airtable and MySQL

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

MySQL Airtable Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

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.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Airtable ⇄ MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Airtable or MySQL 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 MySQL record.

Observability

Monitoring

Track your Airtable ⇄ MySQL 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 MySQL.

How the Airtable and MySQL 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

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

    Choose tables

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

Airtable and MySQL 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 581 integrations available for Airtable and MySQL.

Popular · 8 of 581
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