Real-time
Two-way sync
Changes in Airtable or Materialize instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Airtable to Materialize integration — real-time, two-way sync
Keep Airtable and Materialize 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
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Airtable and Materialize
Connect Airtable and Materialize 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 Materialize, 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 Materialize in real time, and result tables in Materialize sync back into Airtable, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
- 02 Bridge streaming sources and non-streaming destinations by materializing joins across both.
- 03 Sync form-submitted records from Airtable into downstream systems like a helpdesk or marketing platform.
- 04 Push CRM accounts and deals into an Airtable base so operations teams can manage pipelines and enrichment without CRM licenses.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Airtable land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Materialize sync into Airtable, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Airtable and Materialize
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 | Materialize objects | How this pairing syncs | |
|---|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Schemas & Databases Namespaces that organize objects a sync targets. | Attachments is specific to Airtable and Schemas & Databases to Materialize — 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. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Collaborators is specific to Airtable and Sources to Materialize — 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 Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Bases is specific to Airtable and Materialized Views to Materialize — each maps to any object or custom field on the other side. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Sinks Outbound connections that emit view changes to Kafka topics. | Records is specific to Airtable and Sinks to Materialize — 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. | Indexes In-memory arrangements that make view reads fast for serving workloads. | Fields is specific to Airtable and Indexes to Materialize — each maps to any object or custom field on the other side. |
How changes propagate between Airtable and Materialize
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 Materialize 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 Materialize as a row-level write, with types converted between the two schemas.
Materialize Airtable Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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.
What ships with Airtable ⇄ Materialize
Connect Airtable and Materialize for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Materialize connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or Materialize 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 Materialize record.
Observability
Monitoring
Track your Airtable ⇄ Materialize 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 Materialize.
How the Airtable and Materialize 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.
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
How it works
How to connect Airtable to Materialize — 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 Materialize 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
Materialize
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and Materialize 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 ⇄ MaterializeCustomers 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 MaterializeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and Materialize integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Materialize: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Materialize integration in-house.
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Yes — Stacksync ships production-grade connectors for both Airtable and Materialize. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Airtable: 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. On Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Materialize side: Clusters, Connections & Secrets, Schemas & Databases, Tables, plus custom fields where Materialize exposes them. On the Airtable side: Tables, Records, Fields, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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.
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:
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