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Data warehouse ⇄ Communications

Apache Doris to Zoom integration — real-time, two-way sync

Keep Apache Doris 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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Why teams connect Apache Doris and Zoom

Land the messages, calls, and events from Zoom in Apache Doris 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 Webinars, Registrants, Cloud Recordings, Participant Reports from Zoom into tables in Apache Doris in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Apache Doris — 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 Keep Team Chat channel membership aligned with team and department data mastered in an operational database.
  • 02 Sync Zoom Users and Groups two-way with an HRIS or identity database so new hires get provisioned licenses and departures are deactivated automatically.
  • 03 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.
  • 04 Read aggregates from Doris and sync them into business tools like CRMs or spreadsheets.

Common sync patterns

Activity joined with everything else

Combine Zoom's activity with the CRM, product, and support data already in Apache Doris 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 Apache Doris sync back onto records in Zoom, putting warehouse analysis where the outreach happens.

Queryable history that outlives retention

A continuously synced copy in Apache Doris 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 Apache Doris 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.

Apache Doris objects Zoom objects How this pairing syncs
Tables Columnar tables in one of Doris's table models, used as sync destinations. Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. Tables is specific to Apache Doris and Cloud Recordings to Zoom — each maps to any object or custom field on the other side.
Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. Unique Key Tables is specific to Apache Doris and Participant Reports to Zoom — each maps to any object or custom field on the other side.
Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. 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. Aggregate Key Tables is specific to Apache Doris and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side.
Partitions Range or list partitions that bound incremental loads. Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. Partitions is specific to Apache Doris and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side.
Materialized Views Precomputed views readable for downstream syncs and BI. Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. Materialized Views is specific to Apache Doris and Users to Zoom — each maps to any object or custom field on the other side.
Users and Roles Principals used to grant the sync connection scoped access. Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. Users and Roles is specific to Apache Doris and Groups to Zoom — each maps to any object or custom field on the other side.

How changes propagate between Apache Doris 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.

Apache Doris Zoom Interval-based propagation

DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.

DeliveryEach detected change is written to Zoom through its API, with automatic retries and rate-limit backoff.

Zoom Apache Doris 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 Apache Doris as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
  • 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 Apache Doris ⇄ Zoom

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Doris 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 Apache Doris or Zoom record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Doris and Zoom connectors work

Apache Doris

Integration surface
MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
Authentication
Database credentials
Change detection
Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
Capabilities
read · write
Rate limits
No API quotas; load throughput depends on cluster resources and load-job configuration

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 Apache Doris 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 Apache Doris 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
    Apache Doris connected
    Zoom connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Doris 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 · Apache Doris ⇄ 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
    Apache Doris Zoom
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Doris and Zoom integration FAQ

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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

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