Two-way sync
Changes in Aircall or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Yellowbrick in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Calls, Users, Numbers, Tags from Aircall into tables in Yellowbrick in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Yellowbrick — segments, contact updates, suppression flags — can be written back into fields in Aircall wherever it exposes them, so analysis lands where outreach actually happens.
Segments, contact fields, or suppression flags computed in Yellowbrick sync back onto records in Aircall, putting warehouse analysis where the outreach happens.
A continuously synced copy in Yellowbrick preserves messages, call logs, and events for reporting and audit even as they age out of Aircall or get purged inside it.
Messages, calls, and events from Aircall arrive in Yellowbrick as queryable tables, current within seconds instead of a day behind.
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 | Yellowbrick objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Views Logical views used to shape reads for BI and downstream syncs. | Messages (SMS/MMS) is specific to Aircall and Views to Yellowbrick — 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. | Users and Roles Access-control objects that govern what a sync service account can read and write. | Webhooks is specific to Aircall and Users and Roles to Yellowbrick — 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. | Databases Top-level containers for schemas and tables. | Contacts is specific to Aircall and Databases to Yellowbrick — 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. | Schemas Namespaces used to organize synced datasets by source or domain. | Calls is specific to Aircall and Schemas to Yellowbrick — 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. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | Users is specific to Aircall and Tables to Yellowbrick — 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 Yellowbrick as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.
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–Yellowbrick connection.
Changes in Aircall or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Yellowbrick 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 Yellowbrick record.
Track your Aircall ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Yellowbrick.
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 Yellowbrick 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 Yellowbrick 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 Yellowbrick: authenticate both systems, choose the objects to sync (such as Aircall's Messages (SMS/MMS) and Webhooks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Aircall and Yellowbrick. 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 Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Aircall side: Calls, Users, Numbers, Tags, plus custom fields where Aircall exposes them. On the Yellowbrick side: Schemas, Tables, Views, Users and Roles. 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.
Common patterns for Aircall and Yellowbrick: Where Aircall accepts updates: operational write-back; Queryable history that outlives retention; Communications analytics without ETL. Segments, contact fields, or suppression flags computed in Yellowbrick sync back onto records in Aircall, putting warehouse analysis where the outreach happens.
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 335 integrations available for Aircall and Yellowbrick.