Two-way sync
Changes in Aircall or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Elasticsearch 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 Elasticsearch next to everything else.
Stacksync mirrors Teams, Messages (SMS/MMS), Webhooks, Contacts from Aircall into Data streams, Ingest pipelines, Index templates, Indices in Elasticsearch 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 Elasticsearch, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in Elasticsearch 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 Elasticsearch, 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 | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Data streams Append-only targets for time-series or event data pushed from source systems. | Contacts is specific to Aircall and Data streams to Elasticsearch — 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. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Calls is specific to Aircall and Ingest pipelines to Elasticsearch — 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. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Users is specific to Aircall and Index templates to Elasticsearch — 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. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Numbers is specific to Aircall and Indices to Elasticsearch — 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. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Tags is specific to Aircall and Documents to Elasticsearch — 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. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Teams is specific to Aircall and Index mappings to Elasticsearch — 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
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–Elasticsearch connection.
Changes in Aircall or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Elasticsearch 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 Elasticsearch record.
Track your Aircall ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Elasticsearch.
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 Elasticsearch 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 Elasticsearch 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 Elasticsearch: authenticate both systems, choose the objects to sync (such as Aircall's Contacts and Calls), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Aircall and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Aircall side: Teams, Messages (SMS/MMS), Webhooks, Contacts, plus custom fields where Aircall exposes them. On the Elasticsearch side: Data streams, Ingest pipelines, Index templates, Indices. 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 Elasticsearch: Communication history as database rows; Trigger outbound communication from the database; One contact list across both. Every message, call, or event Aircall records becomes rows in Elasticsearch, ready to query, join with your own data, and report on without touching the vendor API.
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 424 integrations available for Aircall and Elasticsearch.