Real-time
Two-way sync
Changes in Airtable or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
Airtable to Postgres Heroku integration — real-time, two-way sync
Keep Airtable and Postgres Heroku 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 Postgres Heroku
Keep Airtable and Postgres Heroku synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Airtable and Postgres Heroku 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
- Write cleaned records edited in Airtable back to the source system of record, keeping both sides consistent in near real time.
- Use Airtable as a lightweight front end for product catalogs or inventory stored in an ERP or warehouse database.
- Keep several Heroku app databases aligned with one system of record
- Reflect billing and subscription records into the app database so product logic reads local rows
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Airtable and Postgres Heroku, so each workload runs on the engine that suits it.
What you can sync between Airtable and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Views Read-side projections exposed to outbound syncs. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Linked records Cross-table references that carry relationships between synced tables. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. |
What ships with Airtable ⇄ Postgres Heroku
Connect Airtable and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Airtable ⇄ Postgres Heroku 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 Postgres Heroku.
How the Airtable and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Airtable to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Records), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Airtable side: Bases, Tables, Records, Fields, plus custom fields where Airtable exposes them. On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables. 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 Postgres Heroku: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
-
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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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 Postgres Heroku.
Popular · 8 of 386
-
Airtable ⇄ YugabyteDB -
Airtable ⇄ PostgreSQL -
Airtable ⇄ Amazon RDS -
Airtable ⇄ Supabase -
Postgres Heroku ⇄ OCI Database (Oracle Cloud) -
Postgres Heroku ⇄ OpenSearch -
Postgres Heroku ⇄ Oracle DB -
Postgres Heroku ⇄ RavenDB
No integrations match .
