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Communications ⇄ Database

Aircall to Google Cloud SQL integration — real-time, two-way sync

Keep Aircall and Google Cloud SQL 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 Google Cloud SQL

Turn the messages, calls, and events Aircall handles into live rows in Google Cloud SQL, 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 Google Cloud SQL next to everything else.

Stacksync mirrors Contacts, Calls, Users, Numbers from Aircall into Schemas, Tables, Rows, Views in Google Cloud SQL 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 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.
  • 02 Provision and deprovision Users and Team membership from an HR system or IdP so the agent roster, seats, and routing groups stay current.
  • 03 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 04 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

Common sync patterns

Communication history as database rows

Every message, call, or event Aircall records becomes rows in Google Cloud SQL, ready to query, join with your own data, and report on without touching the vendor API.

Trigger outbound communication from the database

Write a row to a synced table in Google Cloud SQL and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.

One contact list across both

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

What you can sync between Aircall and Google Cloud SQL

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 Google Cloud SQL 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. Databases Scope the tables included in a sync configuration. Tags is specific to Aircall and Databases to Google Cloud SQL — 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 in PostgreSQL and SQL Server instances. Teams is specific to Aircall and Schemas to Google Cloud SQL — 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. Tables Mapped directly to sync targets; schema changes can be propagated. Messages (SMS/MMS) is specific to Aircall and Tables to Google Cloud SQL — 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. Rows Read and written by primary key during each sync cycle. Webhooks is specific to Aircall and Rows to Google Cloud SQL — 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. Views Read-only sources for shaping data before syncing it out. Contacts is specific to Aircall and Views to Google Cloud SQL — 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. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Calls is specific to Aircall and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Aircall and Google Cloud SQL

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 Google Cloud SQL 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.

Google Cloud SQL Aircall Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Aircall ⇄ Google Cloud SQL

Connect Aircall and Google Cloud SQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Google Cloud SQL connection.

Real-time

Two-way sync

Changes in Aircall or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aircall or Google Cloud SQL 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 Google Cloud SQL record.

Observability

Monitoring

Track your Aircall ⇄ Google Cloud SQL 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 Google Cloud SQL.

How the Aircall and Google Cloud SQL 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

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Aircall to Google Cloud SQL — 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 Google Cloud SQL 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
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Aircall and Google Cloud SQL 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 ⇄ Google Cloud SQL
    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 Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Aircall and Google Cloud SQL 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.

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→ 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 339 integrations available for Aircall and Google Cloud SQL.

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