Skip to content
Communications ⇄ Database

Aircall to Postgres Heroku integration — real-time, two-way sync

Keep Aircall 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 Aircall and Postgres Heroku

Turn the messages, calls, and events Aircall handles into live rows in Postgres Heroku, and write back to trigger new outbound communication, with both sides in sync in seconds.

Engineers reach communications tools like Aircall through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in Postgres Heroku next to everything else.

Stacksync mirrors Tags, Teams, Messages (SMS/MMS), Webhooks from Aircall into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Aircall so the tool and the database never disagree.

There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.

Common use cases

  • 01 Send outbound SMS/MMS through the Messages API when a CRM or database record changes (appointment reminders, alerts) and write inbound replies back.
  • 02 Sync Tags and call dispositions onto matching CRM records as call outcomes so RevOps can report on conversation activity.
  • 03 Reflect billing and subscription records into the app database so product logic reads local rows
  • 04 Expose CRM objects as Postgres tables the Heroku application can query and join directly

Common sync patterns

One contact list across both

Recipients and contacts stay consistent between Aircall and Postgres Heroku, so a phone number or email corrected on either side is current the next time either system uses it.

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in Postgres Heroku as row changes, so triggers, jobs, and services can respond in near real time.

One integration pattern for every channel

Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.

What you can sync between Aircall 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.

Aircall objects Postgres Heroku objects How this pairing syncs
Contacts Shared and personal phone-book contacts with full CRUD plus search by phone number or email; the primary two-way object synced with CRM contacts for click-to-dial. Tables Standard Postgres tables; the primary two-way sync target for app data. Contacts is specific to Aircall and Tables to Postgres Heroku — each maps to any object or custom field on the other side.
Calls Inbound and outbound call records with recording URL, duration, tags, comments, and metadata; the record itself is read-only, but you can add tags, comments, insight cards, transfer, archive, and control recording. Views Read-side projections exposed to outbound syncs. Calls is specific to Aircall and Views to Postgres Heroku — each maps to any object or custom field on the other side.
Users Agent seats with name, email, and availability; full CRUD to provision or deprovision seats and map Aircall agents to CRM, HR, or directory identities. Materialized Views Precomputed result sets synced outward on refresh. Users is specific to Aircall and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side.
Numbers Provisioned phone numbers with settings, open hours, and IVR config; read and update to keep routing and business-hours data aligned across systems. Schemas Namespaces that scope which tables a sync reads and writes. Numbers is specific to Aircall and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.
Tags Call tags with name and color; full CRUD, applied to calls for disposition and outcome reporting in the CRM or warehouse. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Tags is specific to Aircall and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.
Teams Groups of users for routing and reporting; create and delete teams and add or remove members to mirror org structure from an HR system or IdP. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Teams is specific to Aircall and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Aircall and Postgres Heroku

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.

Aircall Postgres Heroku Sub-second propagation

DetectionAircall notifies Stacksync of record changes through webhook events. Webhooks (POST /v1/webhooks) for call, contact, user, message, and number events.

DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.

Postgres Heroku Aircall Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

DeliveryEach detected change is written to Aircall through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Aircall: 60 requests per minute per company by default (120/min for Advanced Messaging customers); responses carry X-AircallApi-Limit, X-AircallApi-Remaining, and X-AircallApi-Reset headers.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Aircall ⇄ Postgres Heroku

Connect Aircall and Postgres Heroku for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Postgres Heroku connection.

Real-time

Two-way sync

Changes in Aircall or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aircall 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 Aircall or Postgres Heroku record.

Observability

Monitoring

Track your Aircall ⇄ 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 Aircall and Postgres Heroku.

How the Aircall and Postgres Heroku connectors work

Aircall

Integration surface
REST API (Aircall Public API v1, https://api.aircall.io/v1)
Authentication
HTTP Basic auth (base64 api_id:api_token) for single-account integrations, or OAuth 2.0 authorization_code flow for multi-tenant Technology Partner apps
Change detection
Webhooks (POST /v1/webhooks) for call, contact, user, message, and number events; historical pulls via list endpoints paged with from/to timestamps and order
Capabilities
read · write · webhooks
Rate limits
60 requests per minute per company by default (120/min for Advanced Messaging customers); responses carry X-AircallApi-Limit, X-AircallApi-Remaining, and X-AircallApi-Reset headers
Aircall setup guide

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 Aircall 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.

  1. 01

    Connect your apps

    Authenticate Aircall 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Aircall connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Aircall 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Aircall ⇄ Postgres Heroku
    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
    Aircall Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Aircall and Postgres Heroku 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 352 integrations available for Aircall and Postgres Heroku.

Popular · 7 of 352
All Aircall integrations All Postgres Heroku integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own