Two-way sync
Changes in Aircall or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and SQL Server 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 SQL Server next to everything else.
Stacksync mirrors Messages (SMS/MMS), Webhooks, Contacts, Calls from Aircall into Stored Procedures, Databases, Schemas, Tables in SQL Server 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.
Every message, call, or event Aircall records becomes rows in SQL Server, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in SQL Server and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between Aircall and SQL Server, so a phone number or email corrected on either side is current the next time either system uses it.
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 | SQL Server 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. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Numbers is specific to Aircall and Primary and Unique Keys to SQL Server — 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. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Tags is specific to Aircall and CDC Change Tables to SQL Server — 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. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Teams is specific to Aircall and Stored Procedures to SQL Server — 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. | Databases Instance-level databases that scope a sync's reads and writes. | Messages (SMS/MMS) is specific to Aircall and Databases to SQL Server — 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. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Webhooks is specific to Aircall and Schemas to SQL Server — 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. | Tables The primary sync target; rows map to records in connected systems. | Contacts is specific to Aircall and Tables to SQL Server — 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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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–SQL Server connection.
Changes in Aircall or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or SQL Server 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 SQL Server record.
Track your Aircall ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server: 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.
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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Aircall: The api_token is shown only once when the API key is created and cannot be retrieved afterward, so it must be stored securely at generation time. SQL Server: Change Tracking is a lower-overhead alternative that records which rows changed, but not intermediate values, so it suits net-change syncs. Stacksync's field mapping accounts for these differences between Aircall and SQL Server 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 SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Aircall and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 443 integrations available for Aircall and SQL Server.