Two-way sync
Changes in Aircall or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Citus 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 Citus next to everything else.
Stacksync mirrors Users, Numbers, Tags, Teams from Aircall into Views, Sequences, Distributed tables, Reference tables in Citus 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.
Write a row to a synced table in Citus 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 Citus, so a phone number or email corrected on either side is current the next time either system uses it.
Sends, replies, answered calls, or completed meetings arrive in Citus as row changes, so triggers, jobs, and services can respond in near real time.
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 | Citus 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. | Sequences Key generators that matter when external writes must not collide with application inserts. | Webhooks is specific to Aircall and Sequences to Citus — 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. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Contacts is specific to Aircall and Distributed tables to Citus — 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. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Calls is specific to Aircall and Reference tables to Citus — 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. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Users is specific to Aircall and Local tables to Citus — 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. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Numbers is specific to Aircall and Schemas to Citus — 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. | Views Curated projections over distributed data, often used as read-only sync sources. | Tags is specific to Aircall and Views to Citus — 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 Citus as a row-level write, with types converted between the two schemas.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
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–Citus connection.
Changes in Aircall or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Citus 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 Citus record.
Track your Aircall ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Citus.
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 Citus 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 Citus 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 Citus: 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.
Common patterns for Aircall and Citus: Trigger outbound communication from the database; One contact list across both; React to activity as it happens. Write a row to a synced table in Citus and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.
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. Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Stacksync manages authentication, retries, and rate limits on both sides.
Aircall: Calls are read-oriented: the call record cannot be created or edited, but you can add tags, comments, and insight cards, transfer, archive, and control recording; genuine writes live in Contacts, Users, Tags, Teams, and Messages. Citus: Distributed tables are sharded by a declared distribution column, and reference tables are fully replicated to all nodes; the table type changes how writes and joins behave. Stacksync's field mapping accounts for these differences between Aircall and Citus 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 Citus records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and Citus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–Citus integration in-house.
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 336 integrations available for Aircall and Citus.