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Communications ⇄ Database

Aircall to Amazon Aurora integration — real-time, two-way sync

Keep Aircall and Amazon Aurora 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 Amazon Aurora

Turn the messages, calls, and events Aircall handles into live rows in Amazon Aurora, 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 Amazon Aurora next to everything else.

Stacksync mirrors Webhooks, Contacts, Calls, Users from Aircall into Databases, Schemas, Tables, Views in Amazon Aurora 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 Sync Tags and call dispositions onto matching CRM records as call outcomes so RevOps can report on conversation activity.
  • 02 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.
  • 03 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • 04 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.

Common sync patterns

Trigger outbound communication from the database

Write a row to a synced table in Amazon Aurora 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 Amazon Aurora, 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 Amazon Aurora as row changes, so triggers, jobs, and services can respond in near real time.

What you can sync between Aircall and Amazon Aurora

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 Amazon Aurora objects How this pairing syncs
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. Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Users is specific to Aircall and Columns and Data Types to Amazon Aurora — each maps to any object or custom field on the other side.
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 Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Numbers is specific to Aircall and Primary and Foreign Keys to Amazon Aurora — 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. Read Replicas Reader endpoints that syncs can target to keep load off the writer. Tags is specific to Aircall and Read Replicas to Amazon Aurora — 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. Databases Logical databases within a cluster that scope a sync connection. Teams is specific to Aircall and Databases to Amazon Aurora — 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. Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Messages (SMS/MMS) is specific to Aircall and Schemas to Amazon Aurora — 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 Relational tables synced bi-directionally at row level. Webhooks is specific to Aircall and Tables to Amazon Aurora — each maps to any object or custom field on the other side.

How changes propagate between Aircall and Amazon Aurora

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 Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Amazon Aurora Aircall Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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.
  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Aircall ⇄ Amazon Aurora

Connect Aircall and Amazon Aurora for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Amazon Aurora connection.

Real-time

Two-way sync

Changes in Aircall or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aircall or Amazon Aurora 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 Amazon Aurora record.

Observability

Monitoring

Track your Aircall ⇄ Amazon Aurora 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 Amazon Aurora.

How the Aircall and Amazon Aurora 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

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
How it works

How to connect Aircall to Amazon Aurora — 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 Amazon Aurora 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
    Amazon Aurora connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Aircall and Amazon Aurora 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 ⇄ Amazon Aurora
    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 Amazon Aurora
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Aircall and Amazon Aurora 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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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 338 integrations available for Aircall and Amazon Aurora.

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