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Communications ⇄ Database

Aircall to Azure SQL Database integration — real-time, two-way sync

Keep Aircall and Azure SQL Database 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 Azure SQL Database

Turn the messages, calls, and events Aircall handles into live rows in Azure SQL Database, and write back to trigger new outbound communication, with both sides in sync in seconds.

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 Azure SQL Database next to everything else.

Stacksync mirrors Contacts, Calls, Users, Numbers from Aircall into Schemas, Rows and columns, Stored procedures, Change tracking / CDC tables in Azure SQL Database 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.

Common use cases

  • 01 Log every Call with its recording URL, tags, comments, and metadata into Postgres or a warehouse for talk-time and call-outcome reporting beside CRM pipeline data.
  • 02 Provision and deprovision Users and Team membership from an HR system or IdP so the agent roster, seats, and routing groups stay current.
  • 03 Feed an Azure SQL operational database with orders and inventory from an ERP in near real time.
  • 04 Expose SaaS data (billing, support tickets) as tables in Azure SQL for reporting teams already on Microsoft tooling.

Common sync patterns

Trigger outbound communication from the database

Write a row to a synced table in Azure SQL Database and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.

One contact list across both

Recipients and contacts stay consistent between Aircall and Azure SQL Database, so a phone number or email corrected on either side is current the next time either system uses it.

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in Azure SQL Database as row changes, so triggers, jobs, and services can respond in near real time.

What you can sync between Aircall and Azure SQL Database

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 Azure SQL Database 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. Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. Teams is specific to Aircall and Stored procedures to Azure SQL Database — 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. Change tracking / CDC tables System-maintained change records used to drive incremental sync. Messages (SMS/MMS) is specific to Aircall and Change tracking / CDC tables to Azure SQL Database — 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. Tables The primary sync target; rows map one-to-one to records in the paired system. Webhooks is specific to Aircall and Tables to Azure SQL Database — 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. Views Read-only projections used when the sync should expose a curated shape rather than raw tables. Contacts is specific to Aircall and Views to Azure SQL Database — 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 that organize tables and control which objects a sync user can reach. Calls is specific to Aircall and Schemas to Azure SQL Database — 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. Rows and columns Standard relational records with typed columns; primary keys anchor upserts. Users is specific to Aircall and Rows and columns to Azure SQL Database — each maps to any object or custom field on the other side.

How changes propagate between Aircall and Azure SQL Database

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 Azure SQL Database 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 Azure SQL Database as a row-level write, with types converted between the two schemas.

Azure SQL Database Aircall Sub-second propagation

DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.

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.
What ships with Aircall ⇄ Azure SQL Database

Connect Aircall and Azure SQL Database for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Azure SQL Database connection.

Real-time

Two-way sync

Changes in Aircall or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aircall or Azure SQL Database 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 Azure SQL Database record.

Observability

Monitoring

Track your Aircall ⇄ Azure SQL Database 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 Azure SQL Database.

How the Aircall and Azure SQL Database 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

Azure SQL Database

Integration surface
SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers
Authentication
SQL authentication (database credentials) or Microsoft Entra ID authentication
Change detection
Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback
Capabilities
read · write · CDC
How it works

How to connect Aircall to Azure SQL Database — 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 Azure SQL Database 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
    Azure SQL Database connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Aircall and Azure SQL Database 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 ⇄ Azure SQL Database
    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 Azure SQL Database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Aircall and Azure SQL Database 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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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 347 integrations available for Aircall and Azure SQL Database.

Popular · 7 of 347
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