Two-way sync
Changes in Neo4j or Zoom instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and Zoom 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 Zoom 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 Meetings, Webinars, Registrants, Cloud Recordings from Zoom into Relationships, Properties, Labels, Indexes & Constraints 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 Zoom 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 Zoom records becomes rows in Neo4j, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in Neo4j and Stacksync propagates it into Zoom, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between Zoom and Neo4j, 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.
| Neo4j objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. | Databases is specific to Neo4j and Participant Reports to Zoom — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Zoom Phone Call Logs Call detail records and recordings from Zoom Phone (requires the Phone license); read into a database to log calls against customers. | Users & Roles is specific to Neo4j and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. | Nodes is specific to Neo4j and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. | Relationships is specific to Neo4j and Users to Zoom — each maps to any object or custom field on the other side. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Properties is specific to Neo4j and Groups to Zoom — each maps to any object or custom field on the other side. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Meetings Scheduled and instant meetings with join URLs and settings; created and updated from a CRM or calendar, read back for reporting. | Labels is specific to Neo4j and Meetings to Zoom — 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.
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 Zoom through its API, with automatic retries and rate-limit backoff.
DetectionZoom notifies Stacksync of record changes through webhook events. Webhooks via Event Subscriptions (meeting.started/ended, participant joined/left, user.created/updated, recording.completed, and more) for real-time.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Zoom connection.
Changes in Neo4j or Zoom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or Zoom data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or Zoom record.
Track your Neo4j ⇄ Zoom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and Zoom.
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 Neo4j and Zoom 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 Neo4j and Zoom 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 Neo4j and Zoom: authenticate both systems, choose the objects to sync (such as Neo4j's Databases and Users & Roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Zoom: REST API (v2) with webhook Event Subscriptions. Authentication: OAuth 2.0 — user-authorized OAuth or Server-to-Server OAuth using account credentials; access tokens are valid for one hour and requests use granular per-resource scopes (e.g. meeting:read, user:write). Stacksync manages authentication, retries, and rate limits on both sides.
Zoom: Access tokens expire after one hour; Server-to-Server OAuth apps mint fresh tokens from account credentials rather than a stored user session. Neo4j: Client drivers connect over the Bolt binary protocol rather than HTTP for query workloads. Stacksync's field mapping accounts for these differences between Neo4j and Zoom 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 Neo4j and Zoom records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Zoom connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Zoom integration in-house.
Yes — Stacksync ships production-grade connectors for both Neo4j and Zoom. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Neo4j and Zoom.