Real-time
Two-way sync
Changes in Scaleway Postgres or Zoom instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Communications
Scaleway Postgres to Zoom integration — real-time, two-way sync
Keep Scaleway Postgres 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
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Why teams connect Scaleway Postgres and Zoom
Turn the messages, calls, and events Zoom handles into live rows in Scaleway Postgres, 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 Scaleway Postgres next to everything else.
Stacksync mirrors Registrants, Cloud Recordings, Participant Reports, Zoom Phone Call Logs from Zoom into Tables, Views, Materialized views, Schemas in Scaleway Postgres 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 Land Cloud Recording metadata and past-meeting Participant Reports into a warehouse for compliance archival and usage analytics.
- 02 Push Zoom Phone call logs into an operational database so sales and support calls are logged against the right customer records.
- 03 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
- 04 Replicate the application database into a warehouse for analytics without writing custom pipelines
Common sync patterns
Communication history as database rows
Every message, call, or event Zoom records becomes rows in Scaleway Postgres, ready to query, join with your own data, and report on without touching the vendor API.
Trigger outbound communication from the database
Write a row to a synced table in Scaleway Postgres and Stacksync propagates it into Zoom, so your code sends the message, places the call, or schedules the meeting without integration glue.
One contact list across both
Recipients and contacts stay consistent between Zoom and Scaleway Postgres, so a phone number or email corrected on either side is current the next time either system uses it.
What you can sync between Scaleway Postgres 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.
| Scaleway Postgres objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only sources for shaping data before it leaves the database. | Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. | Views is specific to Scaleway Postgres and Participant Reports to Zoom — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | 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. | Materialized views is specific to Scaleway Postgres and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables so multiple applications or environments can be synced selectively. | Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. | Schemas is specific to Scaleway Postgres and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side. | |
| Sequences Generate primary keys; sync tooling must respect them when writing rows. | Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. | Sequences is specific to Scaleway Postgres and Users to Zoom — each maps to any object or custom field on the other side. | |
| Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Columns is specific to Scaleway Postgres and Groups to Zoom — each maps to any object or custom field on the other side. | |
| Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Meetings Scheduled and instant meetings with join URLs and settings; created and updated from a CRM or calendar, read back for reporting. | Tables is specific to Scaleway Postgres and Meetings to Zoom — each maps to any object or custom field on the other side. |
How changes propagate between Scaleway Postgres 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.
Scaleway Postgres Zoom Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is written to Zoom through its API, with automatic retries and rate-limit backoff.
Zoom Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
- 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 Scaleway Postgres ⇄ Zoom
Connect Scaleway Postgres and Zoom for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Zoom connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Scaleway Postgres 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 Scaleway Postgres or Zoom record.
Observability
Monitoring
Track your Scaleway Postgres ⇄ Zoom sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Scaleway Postgres and Zoom.
How the Scaleway Postgres and Zoom connectors work
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
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 Scaleway Postgres 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 Scaleway Postgres 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.
Scaleway Postgres
connected
Zoom
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Scaleway Postgres 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 · Scaleway Postgres ⇄ 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.
Scaleway Postgres ZoomCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Scaleway Postgres and Zoom integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Scaleway Postgres and Zoom: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Views and Materialized views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Zoom side: Registrants, Cloud Recordings, Participant Reports, Zoom Phone Call Logs, plus custom fields where Zoom exposes them. On the Scaleway Postgres side: Tables, Views, Materialized views, Schemas. 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.
-
Common patterns for Scaleway Postgres and Zoom: Communication history as database rows; Trigger outbound communication from the database; One contact list across both. Every message, call, or event Zoom records becomes rows in Scaleway Postgres, ready to query, join with your own data, and report on without touching the vendor API.
-
Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). 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.
-
Zoom: Cloud recording download URLs are time-limited and access-token protected, and recordings are auto-deleted per the account's retention settings. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between Scaleway Postgres and Zoom without custom code.
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 347 integrations available for Scaleway Postgres and Zoom.
Popular · 7 of 347
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