Two-way sync
Changes in Aircall or Firebase instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Firebase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Firebase next to everything else.
Stacksync mirrors Numbers, Tags, Teams, Messages (SMS/MMS) from Aircall into Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections in Firebase 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.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
Every message, call, or event Aircall records becomes rows in Firebase, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in Firebase and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.
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 | Firebase objects | How this pairing syncs | |
|---|---|---|---|
| Numbers Provisioned phone numbers with settings, open hours, and IVR config; read and update to keep routing and business-hours data aligned across systems. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Numbers is specific to Aircall and Firestore Documents to Firebase — 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. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | Tags is specific to Aircall and Subcollections to Firebase — 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. | Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Teams is specific to Aircall and Realtime Database Nodes to Firebase — 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. | Authentication Users User accounts read into CRMs and warehouses for customer records. | Messages (SMS/MMS) is specific to Aircall and Authentication Users to Firebase — 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 Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Webhooks is specific to Aircall and Cloud Storage Objects to Firebase — 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 Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Contacts is specific to Aircall and Cloud Functions Triggers to Firebase — each maps to any object or custom field on the other side. |
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.
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 written to Firebase through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.
DeliveryEach detected change is written to Aircall through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Firebase connection.
Changes in Aircall or Firebase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Firebase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Aircall or Firebase record.
Track your Aircall ⇄ Firebase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Firebase.
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.
Authenticate Aircall and Firebase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Aircall and Firebase 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Aircall and Firebase: authenticate both systems, choose the objects to sync (such as Aircall's Numbers and Tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–Firebase integration in-house.
Yes — Stacksync ships production-grade connectors for both Aircall and Firebase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Aircall: Webhooks (POST /v1/webhooks) for call, contact, user, message, and number events; historical pulls via list endpoints paged with from/to timestamps and order. On Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Aircall side: Numbers, Tags, Teams, Messages (SMS/MMS), plus custom fields where Aircall exposes them. On the Firebase side: Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 436 integrations available for Aircall and Firebase.