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Communications ⇄ Data warehouse

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

Keep Aircall and Google Cloud Platform 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 Platform

Land the messages, calls, and events from Aircall in Google Cloud Platform as live tables, and write results back, without building or maintaining a pipeline.

Aircall produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.

Stacksync syncs Teams, Messages (SMS/MMS), Webhooks, Contacts from Aircall into tables in Google Cloud Platform in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Google Cloud Platform — segments, contact updates, suppression flags — can be written back into fields in Aircall wherever it exposes them, so analysis lands where outreach actually happens.

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 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Queryable history that outlives retention

A continuously synced copy in Google Cloud Platform preserves messages, call logs, and events for reporting and audit even as they age out of Aircall or get purged inside it.

Communications analytics without ETL

Messages, calls, and events from Aircall arrive in Google Cloud Platform as queryable tables, current within seconds instead of a day behind.

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from Aircall land in Google Cloud Platform as they happen, so deliverability and response monitoring stop lagging the reality they describe.

What you can sync between Aircall and Google Cloud Platform

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 Platform 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. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Tags is specific to Aircall and Spanner tables to Google Cloud Platform — 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. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Teams is specific to Aircall and BigQuery datasets to Google Cloud Platform — 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. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Messages (SMS/MMS) is specific to Aircall and BigQuery tables to Google Cloud Platform — 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. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Webhooks is specific to Aircall and Cloud SQL databases to Google Cloud Platform — 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. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Contacts is specific to Aircall and Cloud Storage objects to Google Cloud Platform — 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. Pub/Sub topics Event streams used to move change events between systems in near real time. Calls is specific to Aircall and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Aircall and Google Cloud Platform

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

Google Cloud Platform Aircall Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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 Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Aircall ⇄ Google Cloud Platform

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

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

Real-time

Two-way sync

Changes in Aircall or Google Cloud Platform 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 Platform 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 Platform record.

Observability

Monitoring

Track your Aircall ⇄ Google Cloud Platform 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 Platform.

How the Aircall and Google Cloud Platform 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 Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

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

    Choose tables

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

Aircall and Google Cloud Platform 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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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 443 integrations available for Aircall and Google Cloud Platform.

Popular · 7 of 443
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