Two-way sync
Changes in Airtable or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and MariaDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Connecting Airtable to MariaDB keeps a business-facing base and a relational database on the same records. Airtable Records replicate as rows in MariaDB Tables under Databases (Schemas), giving applications SQL access to base data while business users keep editing in Airtable Views.
Stacksync syncs tables or collections between Airtable and MariaDB 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.
Airtable Tables and Records sync into MariaDB Tables with Fields mapped to Columns and integrity enforced by Primary and Unique Keys.
synced Airtable data lands in MariaDB System-Versioned Tables so teams can query prior states of any record.
MariaDB Views expose joined Airtable-sourced data back to reporting tools.
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 | MariaDB 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. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Records is specific to Airtable and Databases (Schemas) to MariaDB — each maps to any object or custom field on the other side. | |
| 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 MariaDB — 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. | Linked records is specific to Airtable and Primary and Unique Keys to MariaDB — 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. | System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | Attachments is specific to Airtable and System-Versioned Tables to MariaDB — each maps to any object or custom field on the other side. |
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.
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 MariaDB as a row-level write, with types converted between the two schemas.
DetectionChanges in MariaDB 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.
DeliveryEach detected change is written to Airtable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–MariaDB connection.
Changes in Airtable or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or MariaDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or MariaDB record.
Track your Airtable ⇄ MariaDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and MariaDB.
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.
Authenticate Airtable and MariaDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Airtable and MariaDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and MariaDB: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Airtable side: Attachments, Collaborators, Bases, Tables, plus custom fields where Airtable exposes them. On the MariaDB side: Primary and Unique Keys, System-Versioned Tables, JSON Columns, Stored Procedures. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Airtable and MariaDB: Base replication; Change history; Curated read layer. Airtable Tables and Records sync into MariaDB Tables with Fields mapped to Columns and integrity enforced by Primary and Unique Keys.
Airtable: 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. MariaDB: SQL wire protocol (MySQL-compatible client/server protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host). Stacksync manages authentication, retries, and rate limits on both sides.
Airtable: Airtable API rate limit of 5 requests/second; Stacksync rate-limits to stay under it. MariaDB: Composite primary keys are not supported (primary key must be a single column). Stacksync's field mapping accounts for these differences between Airtable and MariaDB without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 478 integrations available for Airtable and MariaDB.