Two-way sync
Changes in StarRocks or Zoom instantly reflect in both systems. No stale data, no manual imports.
Keep StarRocks 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 StarRocks in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in StarRocks — segments, contact updates, suppression flags — can be written back into fields in Zoom wherever it exposes them, so analysis lands where outreach actually happens.
Messages, calls, and events from Zoom arrive in StarRocks as queryable tables, current within seconds instead of a day behind.
Sends, opens, clicks, bounces, and call outcomes from Zoom land in StarRocks as they happen, so deliverability and response monitoring stop lagging the reality they describe.
Combine Zoom's activity with the CRM, product, and support data already in StarRocks to attribute outcomes to the touches that drove them, which no single tool can do alone.
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.
| StarRocks objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Views Logical views for shaping analytical reads. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Views is specific to StarRocks and Groups to Zoom — each maps to any object or custom field on the other side. | |
| Partitions Time or range partitions that scope loads and retention. | Meetings Scheduled and instant meetings with join URLs and settings; created and updated from a CRM or calendar, read back for reporting. | Partitions is specific to StarRocks and Meetings to Zoom — each maps to any object or custom field on the other side. | |
| Columns Columnar storage with types mapped from source systems during sync. | Webinars Webinar events (requires the Webinar license); created and managed via API, with panelists and settings written from event tools. | Columns is specific to StarRocks and Webinars to Zoom — each maps to any object or custom field on the other side. | |
| Databases Top-level namespaces addressed exactly as in MySQL clients. | Registrants Meeting and webinar registrant records; added, listed, and status-updated so signups flow between event platforms and Zoom. | Databases is specific to StarRocks and Registrants to Zoom — each maps to any object or custom field on the other side. | |
| Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | 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 StarRocks and Cloud Recordings to Zoom — each maps to any object or custom field on the other side. | |
| Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. | Materialized views is specific to StarRocks and Participant Reports 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.
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
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 applied to StarRocks as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every StarRocks–Zoom connection.
Changes in StarRocks or Zoom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever StarRocks 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 StarRocks or Zoom record.
Track your StarRocks ⇄ Zoom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between StarRocks 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 StarRocks 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 StarRocks 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 StarRocks and Zoom: authenticate both systems, choose the objects to sync (such as StarRocks's Views and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. On Zoom: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zoom side: Zoom Phone Call Logs, Team Chat Channels and Messages, Users, Groups, plus custom fields where Zoom exposes them. On the StarRocks side: Materialized views, Views, Partitions, Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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 StarRocks and Zoom: Communications analytics without ETL; Engagement and delivery on live data; Activity joined with everything else. Messages, calls, and events from Zoom arrive in StarRocks as queryable tables, current within seconds instead of a day behind.
StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). 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.
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 338 integrations available for StarRocks and Zoom.