Real-time
Two-way sync
Changes in Airtable or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Airtable to Tinybird integration — real-time, two-way sync
Keep Airtable and Tinybird 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Airtable and Tinybird
Connect Airtable and Tinybird with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Airtable's rows in Tinybird, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Airtable where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Airtable sync into Tinybird in real time, and result tables in Tinybird sync back into Airtable, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
- Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
- Consolidate several Airtable bases into one analytical database for reporting without manual CSV exports.
- Sync form-submitted records from Airtable into downstream systems like a helpdesk or marketing platform.
Offload heavy reads
Point analytical queries at the synced copy in Tinybird and keep Airtable focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Airtable land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Tinybird sync into Airtable, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Airtable and Tinybird
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 | Tinybird objects | |
|---|---|---|
| Linked records Cross-table references that carry relationships between synced tables. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Tokens Scoped credentials that control read and append rights per resource. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. |
What ships with Airtable ⇄ Tinybird
Connect Airtable and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or Tinybird 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 Tinybird record.
Observability
Monitoring
Track your Airtable ⇄ Tinybird 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 Tinybird.
How the Airtable and Tinybird 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.
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect Airtable to Tinybird — 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.
- 01
Connect your apps
Authenticate Airtable and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Airtable
connected
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and Tinybird 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.
objects · Airtable ⇄ TinybirdCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Airtable TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and Tinybird integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Tinybird: authenticate both systems, choose the objects to sync (such as Airtable's Linked records and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Tinybird: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Tinybird and keep Airtable focused on its operational workload.
-
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. Tinybird: REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect. Authentication: Scoped auth tokens. Stacksync manages authentication, retries, and rate limits on both sides.
-
Tinybird: Rows that fail a Data Source schema are diverted to a companion quarantine Data Source instead of failing the whole batch. Airtable: Every base exposes its own REST endpoint, and the metadata API lets integrations read table and field schemas programmatically. Stacksync's field mapping accounts for these differences between Airtable and Tinybird without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Airtable and Tinybird records are not retained after a sync operation.
SECURITY
Security teams love 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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Airtable and Tinybird.
Popular · 8 of 386
-
Airtable ⇄ Apache Hive -
Airtable ⇄ Apache Impala -
Airtable ⇄ Apache Kylin -
Airtable ⇄ Apache Pinot -
Tinybird ⇄ Postgres Heroku -
Tinybird ⇄ AWS Aurora MySQL - Tinybird ⇄ AWS Aurora PostgreSQL
-
Tinybird ⇄ MongoDB
No integrations match .
