Two-way sync
Changes in SQL Server or Zoom instantly reflect in both systems. No stale data, no manual imports.
Keep SQL Server 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.
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 SQL Server next to everything else.
Stacksync mirrors Groups, Meetings, Webinars, Registrants from Zoom into Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases in SQL Server 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.
Write a row to a synced table in SQL Server and Stacksync propagates it into Zoom, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between Zoom and SQL Server, so a phone number or email corrected on either side is current the next time either system uses it.
Sends, replies, answered calls, or completed meetings arrive in SQL Server as row changes, so triggers, jobs, and services can respond in near real time.
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.
| SQL Server objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-side projections used as outbound sync sources. | Webinars Webinar events (requires the Webinar license); created and managed via API, with panelists and settings written from event tools. | Views is specific to SQL Server and Webinars to Zoom — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with T-SQL types. | Registrants Meeting and webinar registrant records; added, listed, and status-updated so signups flow between event platforms and Zoom. | Columns is specific to SQL Server and Registrants to Zoom — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. | Primary and Unique Keys is specific to SQL Server and Cloud Recordings to Zoom — each maps to any object or custom field on the other side. | |
| CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. | CDC Change Tables is specific to SQL Server and Participant Reports to Zoom — each maps to any object or custom field on the other side. | |
| Stored Procedures T-SQL logic that can validate or post-process synced rows. | 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. | Stored Procedures is specific to SQL Server and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side. | |
| Databases Instance-level databases that scope a sync's reads and writes. | Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. | Databases is specific to SQL Server and Team Chat Channels and Messages 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.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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 SQL Server as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SQL Server–Zoom connection.
Changes in SQL Server or Zoom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SQL Server 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 SQL Server or Zoom record.
Track your SQL Server ⇄ Zoom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SQL Server 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 SQL Server 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 SQL Server 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 SQL Server and Zoom: authenticate both systems, choose the objects to sync (such as SQL Server's Views and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. 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: Groups, Meetings, Webinars, Registrants, plus custom fields where Zoom exposes them. On the SQL Server side: Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases. 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 SQL Server and Zoom: Trigger outbound communication from the database; One contact list across both; React to activity as it happens. Write a row to a synced table in SQL Server and Stacksync propagates it into Zoom, so your code sends the message, places the call, or schedules the meeting without integration glue.
SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. 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 443 integrations available for SQL Server and Zoom.