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Communications ⇄ Database

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

Keep Aircall and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Aircall and Scaleway Postgres

Turn the messages, calls, and events Aircall handles into live rows in Scaleway Postgres, 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 Scaleway Postgres next to everything else.

Stacksync mirrors Webhooks, Contacts, Calls, Users from Aircall into Sequences, Columns, Tables, Views in Scaleway Postgres 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 Sync Tags and call dispositions onto matching CRM records as call outcomes so RevOps can report on conversation activity.
  • 02 Log every Call with its recording URL, tags, comments, and metadata into Postgres or a warehouse for talk-time and call-outcome reporting beside CRM pipeline data.
  • 03 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
  • 04 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records

Common sync patterns

One contact list across both

Recipients and contacts stay consistent between Aircall and Scaleway Postgres, 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 Scaleway Postgres 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 Scaleway Postgres

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 Scaleway Postgres objects How this pairing syncs
Tags Call tags with name and color; full CRUD, applied to calls for disposition and outcome reporting in the CRM or warehouse. Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. Tags is specific to Aircall and Materialized views to Scaleway Postgres — 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. Schemas Namespace tables so multiple applications or environments can be synced selectively. Teams is specific to Aircall and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side.
Messages (SMS/MMS) Text messages tied to a number and contact; send outbound SMS/MMS through the API and read inbound messages delivered via webhook events. Sequences Generate primary keys; sync tooling must respect them when writing rows. Messages (SMS/MMS) is specific to Aircall and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side.
Webhooks Event subscriptions for call, contact, user, message, and number events; full CRUD, the mechanism for near-real-time change delivery to Stacksync. Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. Webhooks is specific to Aircall and Columns to Scaleway Postgres — each maps to any object or custom field on the other side.
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 Primary sync unit; each table maps to an object or table on the other side of the sync. Contacts is specific to Aircall and Tables to Scaleway Postgres — 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-only sources for shaping data before it leaves the database. Calls is specific to Aircall and Views to Scaleway Postgres — each maps to any object or custom field on the other side.

How changes propagate between Aircall and Scaleway Postgres

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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.

Scaleway Postgres Aircall Sub-second propagation

DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.

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.
  • Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Aircall ⇄ Scaleway Postgres

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aircall or Scaleway Postgres 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 Scaleway Postgres record.

Observability

Monitoring

Track your Aircall ⇄ Scaleway Postgres 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 Scaleway Postgres.

How the Aircall and Scaleway Postgres 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

Scaleway Postgres

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials (username/password over TLS)
Change detection
Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by instance size and connection limits rather than API quotas
How it works

How to connect Aircall to Scaleway Postgres — 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 Scaleway Postgres 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
    Scaleway Postgres connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Aircall and Scaleway Postgres 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 ⇄ Scaleway Postgres
    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 Scaleway Postgres
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Aircall and Scaleway Postgres 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
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ISO 27001
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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 347 integrations available for Aircall and Scaleway Postgres.

Popular · 7 of 347
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