Two-way sync
Changes in Oracle DB or Zoom instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB 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 Oracle DB next to everything else.
Stacksync mirrors Participant Reports, Zoom Phone Call Logs, Team Chat Channels and Messages, Users from Zoom into Sequences, PL/SQL procedures and packages, Partitions, JSON columns in Oracle DB 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.
Recipients and contacts stay consistent between Zoom and Oracle DB, 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 Oracle DB as row changes, so triggers, jobs, and services can respond in near real time.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
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.
| Oracle DB objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| JSON columns Document data stored in the converged engine and synced alongside relational rows | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | JSON columns is specific to Oracle DB and Groups to Zoom — each maps to any object or custom field on the other side. | |
| Tables The primary read/write surface for row-level sync over SQL | 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 Oracle DB and Meetings to Zoom — each maps to any object or custom field on the other side. | |
| Views Curated read-only projections exposed to downstream consumers | Webinars Webinar events (requires the Webinar license); created and managed via API, with panelists and settings written from event tools. | Views is specific to Oracle DB and Webinars to Zoom — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed results occasionally used as stable replication sources | Registrants Meeting and webinar registrant records; added, listed, and status-updated so signups flow between event platforms and Zoom. | Materialized views is specific to Oracle DB and Registrants to Zoom — each maps to any object or custom field on the other side. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. | Schemas is specific to Oracle DB and Cloud Recordings to Zoom — each maps to any object or custom field on the other side. | |
| Sequences Key generators to respect when external systems insert rows | 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 Oracle DB 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.
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
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 Oracle DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Zoom connection.
Changes in Oracle DB or Zoom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB 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 Oracle DB or Zoom record.
Track your Oracle DB ⇄ Zoom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB 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 Oracle DB 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 Oracle DB 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 Oracle DB and Zoom: authenticate both systems, choose the objects to sync (such as Oracle DB's JSON columns and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. 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: Participant Reports, Zoom Phone Call Logs, Team Chat Channels and Messages, Users, plus custom fields where Zoom exposes them. On the Oracle DB side: Sequences, PL/SQL procedures and packages, Partitions, JSON 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 Oracle DB and Zoom: One contact list across both; React to activity as it happens; One integration pattern for every channel. Recipients and contacts stay consistent between Zoom and Oracle DB, so a phone number or email corrected on either side is current the next time either system uses it.
Oracle DB: SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers. Authentication: Database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups. 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 362 integrations available for Oracle DB and Zoom.