Two-way sync
Changes in AWS S3 or Zoom instantly reflect in both systems. No stale data, no manual imports.
Keep AWS S3 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.
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 Zoom Phone Call Logs, Team Chat Channels and Messages, Users, Groups from Zoom into tables in AWS S3 in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in AWS S3 — segments, contact updates, suppression flags — can be written back into fields in Zoom wherever it exposes them, so analysis lands where outreach actually happens.
Combine Zoom's activity with the CRM, product, and support data already in AWS S3 to attribute outcomes to the touches that drove them, which no single tool can do alone.
Segments, contact fields, or suppression flags computed in AWS S3 sync back onto records in Zoom, putting warehouse analysis where the outreach happens.
A continuously synced copy in AWS S3 preserves messages, call logs, and events for reporting and audit even as they age out of Zoom or get purged inside it.
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 S3 objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. | Objects is specific to AWS S3 and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. | Prefixes is specific to AWS S3 and Users to Zoom — each maps to any object or custom field on the other side. | |
| Object Metadata System and user-defined metadata read alongside object contents. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Object Metadata is specific to AWS S3 and Groups to Zoom — each maps to any object or custom field on the other side. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | Meetings Scheduled and instant meetings with join URLs and settings; created and updated from a CRM or calendar, read back for reporting. | Object Versions is specific to AWS S3 and Meetings to Zoom — each maps to any object or custom field on the other side. | |
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | Webinars Webinar events (requires the Webinar license); created and managed via API, with panelists and settings written from event tools. | Event Notifications is specific to AWS S3 and Webinars to Zoom — each maps to any object or custom field on the other side. | |
| Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. | Registrants Meeting and webinar registrant records; added, listed, and status-updated so signups flow between event platforms and Zoom. | Access Points is specific to AWS S3 and Registrants to Zoom — each maps to any object or custom field on the other side. |
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.
DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.
DeliveryEach detected change is written to Zoom through its API, with automatic retries and rate-limit backoff.
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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Zoom connection.
Changes in AWS S3 or Zoom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS S3 or Zoom data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS S3 or Zoom record.
Track your AWS S3 ⇄ Zoom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS S3 and Zoom.
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.
Authenticate AWS S3 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.
Pick the AWS S3 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and Zoom: authenticate both systems, choose the objects to sync (such as AWS S3's Objects and Prefixes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS S3 and Zoom: Activity joined with everything else; Where Zoom accepts updates: operational write-back; Queryable history that outlives retention. Combine Zoom's activity with the CRM, product, and support data already in AWS S3 to attribute outcomes to the touches that drove them, which no single tool can do alone.
AWS S3: REST API (the S3 API), accessed directly or through AWS SDKs. Authentication: AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. 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: Past-meeting participant data and call logs come only from the Reports and Dashboard APIs, which need a paid plan and retain data for a limited window. AWS S3: As object storage, S3 has no row-level semantics; incremental sync operates at file granularity. Stacksync's field mapping accounts for these differences between AWS S3 and Zoom without custom code.
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 AWS S3 and Zoom records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS S3 and Zoom connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS S3–Zoom integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 447 integrations available for AWS S3 and Zoom.