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Database ⇄ Communications

Citus to Zoom integration — real-time, two-way sync

Keep Citus 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Citus and Zoom

Turn the messages, calls, and events Zoom handles into live rows in Citus, and write back to trigger new outbound communication, with both sides in sync in seconds.

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 Citus next to everything else.

Stacksync mirrors Meetings, Webinars, Registrants, Cloud Recordings from Zoom into Sequences, Distributed tables, Reference tables, Local 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 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.

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 per-tenant rows from distributed tables into per-customer reporting databases.
  • 04 Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.

Common sync patterns

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in Citus as row changes, so triggers, jobs, and services can respond in near real time.

One integration pattern for every channel

Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.

Communication history as database rows

Every message, call, or event Zoom records becomes rows in Citus, ready to query, join with your own data, and report on without touching the vendor API.

What you can sync between Citus 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.

Citus objects Zoom objects How this pairing syncs
Sequences Key generators that matter when external writes must not collide with application inserts. Meetings Scheduled and instant meetings with join URLs and settings; created and updated from a CRM or calendar, read back for reporting. Sequences is specific to Citus and Meetings to Zoom — each maps to any object or custom field on the other side.
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. Webinars Webinar events (requires the Webinar license); created and managed via API, with panelists and settings written from event tools. Distributed tables is specific to Citus and Webinars to Zoom — each maps to any object or custom field on the other side.
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. Registrants Meeting and webinar registrant records; added, listed, and status-updated so signups flow between event platforms and Zoom. Reference tables is specific to Citus and Registrants to Zoom — each maps to any object or custom field on the other side.
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. Local tables is specific to Citus and Cloud Recordings to Zoom — each maps to any object or custom field on the other side.
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. Schemas is specific to Citus and Participant Reports to Zoom — each maps to any object or custom field on the other side.
Views Curated projections over distributed data, often used as read-only sync sources. 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. Views is specific to Citus and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side.

How changes propagate between Citus 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.

Citus Zoom Sub-second propagation

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 Zoom through its API, with automatic retries and rate-limit backoff.

Zoom Citus 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 Citus 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 Citus ⇄ Zoom

Connect Citus and Zoom for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Zoom connection.

Real-time

Two-way sync

Changes in Citus or Zoom instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus 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 Citus or Zoom record.

Observability

Monitoring

Track your Citus ⇄ Zoom sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Citus and Zoom.

How the Citus and Zoom connectors work

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC

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 Citus 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.

  1. 01

    Connect your apps

    Authenticate Citus 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Citus connected
    Zoom connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Citus 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Citus ⇄ Zoom
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Citus Zoom
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Citus and Zoom integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 336 integrations available for Citus and Zoom.

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