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Database ⇄ Communications

AWS Aurora PostgreSQL to Zoom integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Zoom

Turn the messages, calls, and events Zoom handles into live rows in AWS Aurora PostgreSQL, 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 AWS Aurora PostgreSQL next to everything else.

Stacksync mirrors Registrants, Cloud Recordings, Participant Reports, Zoom Phone Call Logs from Zoom into Columns, Primary keys and constraints, Views and materialized views, Foreign keys in AWS Aurora PostgreSQL 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 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 Feed operational dashboards from a read replica while the writer handles sync traffic.
  • 04 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.

Common sync patterns

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL, ready to query, join with your own data, and report on without touching the vendor API.

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Zoom objects How this pairing syncs
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. Foreign keys is specific to AWS Aurora PostgreSQL and Cloud Recordings to Zoom — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. Replication slots and publications is specific to AWS Aurora PostgreSQL and Participant Reports to Zoom — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. 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. Databases and schemas is specific to AWS Aurora PostgreSQL and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. Tables is specific to AWS Aurora PostgreSQL and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. Rows is specific to AWS Aurora PostgreSQL and Users to Zoom — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. Columns is specific to AWS Aurora PostgreSQL and Groups to Zoom — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL Zoom Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Zoom AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL ⇄ Zoom

Connect AWS Aurora PostgreSQL and Zoom for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Zoom record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Zoom.

How the AWS Aurora PostgreSQL and Zoom connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Zoom connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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
    AWS Aurora PostgreSQL Zoom
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL 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
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→ 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 356 integrations available for AWS Aurora PostgreSQL and Zoom.

Popular · 7 of 356
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