Real-time
Two-way sync
Changes in ClickHouse or Zoom instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Communications
ClickHouse to Zoom integration — real-time, two-way sync
Keep ClickHouse 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect ClickHouse and Zoom
Land the messages, calls, and events from Zoom in ClickHouse as live tables, and write results back, without building or maintaining a pipeline.
Zoom 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 Users, Groups, Meetings, Webinars from Zoom into tables in ClickHouse in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in ClickHouse — segments, contact updates, suppression flags — can be written back into fields in Zoom wherever it exposes them, so analysis lands where outreach actually happens.
Common use cases
- 01 Write Meetings and webinar Registrants from a CRM or event platform into Zoom, then read Participant Reports back onto the lead or contact record.
- 02 Land Cloud Recording metadata and past-meeting Participant Reports into a warehouse for compliance archival and usage analytics.
- 03 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
- 04 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
Common sync patterns
Activity joined with everything else
Combine Zoom's activity with the CRM, product, and support data already in ClickHouse to attribute outcomes to the touches that drove them, which no single tool can do alone.
Where Zoom accepts updates: operational write-back
Segments, contact fields, or suppression flags computed in ClickHouse sync back onto records in Zoom, putting warehouse analysis where the outreach happens.
Queryable history that outlives retention
A continuously synced copy in ClickHouse preserves messages, call logs, and events for reporting and audit even as they age out of Zoom or get purged inside it.
What you can sync between ClickHouse and Zoom
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.
| ClickHouse objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. | Distributed tables is specific to ClickHouse and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. | Dictionaries is specific to ClickHouse and Users to Zoom — each maps to any object or custom field on the other side. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Tables (MergeTree family) is specific to ClickHouse and Groups to Zoom — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Meetings Scheduled and instant meetings with join URLs and settings; created and updated from a CRM or calendar, read back for reporting. | Databases is specific to ClickHouse and Meetings to Zoom — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | Webinars Webinar events (requires the Webinar license); created and managed via API, with panelists and settings written from event tools. | Views is specific to ClickHouse and Webinars to Zoom — each maps to any object or custom field on the other side. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Registrants Meeting and webinar registrant records; added, listed, and status-updated so signups flow between event platforms and Zoom. | Materialized views is specific to ClickHouse and Registrants to Zoom — each maps to any object or custom field on the other side. |
How changes propagate between ClickHouse and Zoom
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.
ClickHouse Zoom Interval-based propagation
DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
DeliveryEach detected change is written to Zoom through its API, with automatic retries and rate-limit backoff.
Zoom ClickHouse Sub-second propagation
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 applied to ClickHouse as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Zoom: APIs are grouped into Light, Medium, Heavy, and Resource-intensive categories with per-second and daily quotas that scale by plan (e.g. Business+ Heavy APIs allow 40/second within a 60,000/day combined cap); exceeding a limit returns HTTP 429.
What ships with ClickHouse ⇄ Zoom
Connect ClickHouse and Zoom for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Zoom connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse or Zoom data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single ClickHouse or Zoom record.
Observability
Monitoring
Track your ClickHouse ⇄ Zoom sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between ClickHouse and Zoom.
How the ClickHouse and Zoom connectors work
ClickHouse
- Integration surface
- Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
- Authentication
- Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
- Change detection
- No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
- Capabilities
- read · write
Zoom
- Integration surface
- 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)
- Change detection
- Webhooks via Event Subscriptions (meeting.started/ended, participant joined/left, user.created/updated, recording.completed, and more) for real-time events, with polling on list endpoints using date-range filters for backfill and objects without an event
- Capabilities
- read · write · webhooks
- Rate limits
- APIs are grouped into Light, Medium, Heavy, and Resource-intensive categories with per-second and daily quotas that scale by plan (e.g. Business+ Heavy APIs allow 40/second within a 60,000/day combined cap); exceeding a limit returns HTTP 429.
How it works
How to connect ClickHouse to Zoom — three steps, no code
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.
- 01
Connect your apps
Authenticate ClickHouse 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.
ClickHouse
connected
Zoom
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse 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.
objects · ClickHouse ⇄ ZoomCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
ClickHouse ZoomCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Zoom integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Zoom: authenticate both systems, choose the objects to sync (such as ClickHouse's Distributed tables and Dictionaries), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both ClickHouse and Zoom. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. On Zoom: Webhooks via Event Subscriptions (meeting.started/ended, participant joined/left, user.created/updated, recording.completed, and more) for real-time events, with polling on list endpoints using date-range filters for backfill and objects without an event. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Zoom side: Users, Groups, Meetings, Webinars, plus custom fields where Zoom exposes them. On the ClickHouse side: Distributed tables, Dictionaries, Tables (MergeTree family), Databases. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for ClickHouse and Zoom: Activity joined with everything else; Where Zoom accepts updates: operational write-back; Queryable history that outlives retention. Combine Zoom's activity with the CRM, product, and support data already in ClickHouse to attribute outcomes to the touches that drove them, which no single tool can do alone.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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