Two-way sync
Changes in Aircall or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Neo4j 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 Neo4j next to everything else.
Stacksync mirrors Users, Numbers, Tags, Teams from Aircall into Properties, Labels, Indexes & Constraints, Databases in Neo4j 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.
Recipients and contacts stay consistent between Aircall and Neo4j, 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 Neo4j as row changes, so triggers, jobs, and services can respond in near real time.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
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 | Neo4j 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. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Users is specific to Aircall and Relationships to Neo4j — 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. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Numbers is specific to Aircall and Properties to Neo4j — 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. | Labels Node type markers used to map source tables or objects onto the graph. | Tags is specific to Aircall and Labels to Neo4j — 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. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Teams is specific to Aircall and Indexes & Constraints to Neo4j — 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. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Messages (SMS/MMS) is specific to Aircall and Databases to Neo4j — 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. | Users & Roles Security principals controlling what an integration credential can query or modify. | Webhooks is specific to Aircall and Users & Roles to Neo4j — 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 Neo4j through its API, with automatic retries and rate-limit backoff.
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
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–Neo4j connection.
Changes in Aircall or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Neo4j 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 Neo4j record.
Track your Aircall ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Neo4j.
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 Neo4j 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 Neo4j 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 Neo4j: authenticate both systems, choose the objects to sync (such as Aircall's Users and Numbers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Aircall: The api_token is shown only once when the API key is created and cannot be retrieved afterward, so it must be stored securely at generation time. Neo4j: Neo4j uses a property graph model in which nodes and relationships both carry key-value properties, so edges hold data rather than just linking rows. Stacksync's field mapping accounts for these differences between Aircall and Neo4j 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 Neo4j records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–Neo4j integration in-house.
Yes — Stacksync ships production-grade connectors for both Aircall and Neo4j. 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 Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 421 integrations available for Aircall and Neo4j.