Real-time
Two-way sync
Changes in Postgres Heroku or Zoom instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Communications
Postgres Heroku to Zoom integration — real-time, two-way sync
Keep Postgres Heroku 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
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Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Zoom
Turn the messages, calls, and events Zoom handles into live rows in Postgres Heroku, 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 Postgres Heroku next to everything else.
Stacksync mirrors Groups, Meetings, Webinars, Registrants from Zoom into JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku 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 Push Zoom Phone call logs into an operational database so sales and support calls are logged against the right customer records.
- 02 Keep Team Chat channel membership aligned with team and department data mastered in an operational database.
- 03 Keep several Heroku app databases aligned with one system of record
- 04 Reflect billing and subscription records into the app database so product logic reads local rows
Common sync patterns
React to activity as it happens
Sends, replies, answered calls, or completed meetings arrive in Postgres Heroku 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 Postgres Heroku, ready to query, join with your own data, and report on without touching the vendor API.
What you can sync between Postgres Heroku 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.
| Postgres Heroku objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. | JSONB Columns is specific to Postgres Heroku and Cloud Recordings to Zoom — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. | Sequences is specific to Postgres Heroku and Participant Reports to Zoom — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact 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. | Follower Databases is specific to Postgres Heroku and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | 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 Postgres Heroku and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. | Views is specific to Postgres Heroku and Users to Zoom — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Materialized Views is specific to Postgres Heroku and Groups to Zoom — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku Zoom Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Zoom through its API, with automatic retries and rate-limit backoff.
Zoom Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- 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 Postgres Heroku ⇄ Zoom
Connect Postgres Heroku and Zoom for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Zoom connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Zoom record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Zoom sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Zoom.
How the Postgres Heroku and Zoom connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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 Postgres Heroku 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 Postgres Heroku 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.
Postgres Heroku
connected
Zoom
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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 · Postgres Heroku ⇄ 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.
Postgres Heroku ZoomCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Zoom integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Zoom: authenticate both systems, choose the objects to sync (such as Postgres Heroku's JSONB Columns and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. 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.
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Zoom: Rate limits are account-wide and shared across every app on the account, and Heavy plus Resource-intensive endpoints share a combined daily cap. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between Postgres Heroku and Zoom without custom code.
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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 Postgres Heroku and Zoom records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Zoom connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Zoom integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Zoom. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 352 integrations available for Postgres Heroku and Zoom.
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Postgres Heroku ⇄ Aircall -
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