Two-way sync
Changes in Aircall or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and MongoDB 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 MongoDB next to everything else.
Stacksync mirrors Contacts, Calls, Users, Numbers from Aircall into Change streams, GridFS files, Databases, Collections in MongoDB 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.
Sends, replies, answered calls, or completed meetings arrive in MongoDB as row changes, so triggers, jobs, and services can respond in near real time.
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 MongoDB, ready to query, join with your own data, and report on without touching the vendor API.
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 | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Change streams The oplog-backed event feed that powers real-time change capture. | Teams is specific to Aircall and Change streams to MongoDB — 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. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Messages (SMS/MMS) is specific to Aircall and GridFS files to MongoDB — 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. | Databases Logical groupings of collections that scope a sync connection. | Webhooks is specific to Aircall and Databases to MongoDB — 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. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Contacts is specific to Aircall and Collections to MongoDB — 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. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Calls is specific to Aircall and Documents to MongoDB — 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. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Users is specific to Aircall and Embedded documents and arrays to MongoDB — 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 applied to MongoDB as a row-level write, with types converted between the two schemas.
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
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–MongoDB connection.
Changes in Aircall or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or MongoDB 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 MongoDB record.
Track your Aircall ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and MongoDB.
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 MongoDB 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 MongoDB 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 MongoDB: authenticate both systems, choose the objects to sync (such as Aircall's Teams and Messages (SMS/MMS)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Aircall and MongoDB: React to activity as it happens; One integration pattern for every channel; Communication history as database rows. Sends, replies, answered calls, or completed meetings arrive in MongoDB as row changes, so triggers, jobs, and services can respond in near real time.
Aircall: 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. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
Aircall: Rate limits are enforced per company: 60 requests per minute by default, 120 per minute for Advanced Messaging customers; every response carries X-AircallApi-Limit, X-AircallApi-Remaining, and X-AircallApi-Reset headers. MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Stacksync's field mapping accounts for these differences between Aircall and MongoDB without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Aircall and MongoDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–MongoDB integration in-house.
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 444 integrations available for Aircall and MongoDB.