Two-way sync
Changes in Aircall or Amazon Redshift instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Amazon Redshift 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 Messages (SMS/MMS), Webhooks, Contacts, Calls from Aircall into tables in Amazon Redshift in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Amazon Redshift — segments, contact updates, suppression flags — can be written back into fields in Aircall wherever it exposes them, so analysis lands where outreach actually happens.
Messages, calls, and events from Aircall arrive in Amazon Redshift as queryable tables, current within seconds instead of a day behind.
Sends, opens, clicks, bounces, and call outcomes from Aircall land in Amazon Redshift as they happen, so deliverability and response monitoring stop lagging the reality they describe.
Combine Aircall's activity with the CRM, product, and support data already in Amazon Redshift to attribute outcomes to the touches that drove them, which no single tool can do alone.
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 Redshift objects | How this pairing syncs | |
|---|---|---|---|
| Webhooks Event subscriptions for call, contact, user, message, and number events; full CRUD, the mechanism for near-real-time change delivery to Stacksync. | Views SQL views readable as modeled sources for reverse syncs. | Webhooks is specific to Aircall and Views to Amazon Redshift — 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. | Materialized Views Precomputed results that downstream syncs can read for performance. | Contacts is specific to Aircall and Materialized Views to Amazon Redshift — 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. | External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Calls is specific to Aircall and External Tables (Spectrum) to Amazon Redshift — 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. | Stored Procedures SQL procedures sometimes invoked around load steps. | Users is specific to Aircall and Stored Procedures to Amazon Redshift — 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. | Users and Groups Principals used to grant a sync connection scoped access. | Numbers is specific to Aircall and Users and Groups to Amazon Redshift — 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. | Databases Top-level containers within a cluster or serverless workgroup. | Tags is specific to Aircall and Databases to Amazon Redshift — 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 Amazon Redshift as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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–Amazon Redshift connection.
Changes in Aircall or Amazon Redshift instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Amazon Redshift 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 Amazon Redshift record.
Track your Aircall ⇄ Amazon Redshift sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Amazon Redshift.
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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift: authenticate both systems, choose the objects to sync (such as Aircall's Webhooks and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Aircall side: Messages (SMS/MMS), Webhooks, Contacts, Calls, plus custom fields where Aircall exposes them. On the Amazon Redshift side: Stored Procedures, Users and Groups, Databases, Schemas. 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 Amazon Redshift: Communications analytics without ETL; Engagement and delivery on live data; Activity joined with everything else. Messages, calls, and events from Aircall arrive in Amazon Redshift as queryable tables, current within seconds instead of a day behind.
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. Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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Every pair below is a real-time, two-way sync. Search all 446 integrations available for Aircall and Amazon Redshift.