Two-way sync
Changes in Gong or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Keep Gong and Jdbc in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Jdbc, where it can be queried and joined like everything else.
Stacksync mirrors Calls, Transcripts, Users, Interaction Stats (Activity) from Gong into Schemas & catalogs, Stored procedures & functions, Sequences, Tables in Jdbc with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gong with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in Gong, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Gong API, limits, and retries.
Field and stage updates in Gong arrive as row changes in Jdbc, ready to drive jobs and notifications.
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.
| Gong objects | Jdbc objects | How this pairing syncs | |
|---|---|---|---|
| Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. | Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Library is specific to Gong and Columns to Jdbc — each maps to any object or custom field on the other side. | |
| Data Privacy (Erasure) GDPR/CCPA deletion handled by POST /v2/data-privacy/erase-data-for-email, with data-for-email lookups on the read side; a write path used for compliance deletions. | Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. | Data Privacy (Erasure) is specific to Gong and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side. | |
| Calls Retrieved via POST /v2/calls/extensive with participants, topics, trackers, scorecards, and media URLs, filtered by fromDateTime/toDateTime; external recordings are also imported via POST /v2/calls with media uploaded via PUT /v2/calls/{id}/media. Read and write. | Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Calls is specific to Gong and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side. | |
| Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. | Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Transcripts is specific to Gong and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side. | |
| Users Gong users and team members with roles, titles, email, and settings, read via GET /v2/users to map call owners and participants to CRM and warehouse identities. Read-only. | Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Users is specific to Gong and Sequences to Jdbc — each maps to any object or custom field on the other side. | |
| Interaction Stats (Activity) Aggregated talk/listen ratios, interaction stats, and day-by-day user activity retrieved via POST /v2/stats endpoints; read out for coaching and engagement reporting. Read-only. | Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Interaction Stats (Activity) is specific to Gong and Tables to Jdbc — 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 Gong for changes on an incremental schedule, reading only records changed since the previous pass. Polling POST /v2/calls/extensive on fromDateTime/toDateTime.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Gong through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gong–Jdbc connection.
Changes in Gong or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong or Jdbc data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gong or Jdbc record.
Track your Gong ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong and Jdbc.
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 Gong and Jdbc 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 Gong and Jdbc 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 Gong and Jdbc: authenticate both systems, choose the objects to sync (such as Gong's Library and Data Privacy (Erasure)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Gong: Writes follow a system-of-engagement pattern - importing external call recordings (POST /v2/calls plus media upload), uploading CRM objects for context, and data-privacy erasure - so Gong is not a general write target for arbitrary business records. Jdbc: There is no native change feed - incremental sync needs a cursor column (an updated_at timestamp or an auto-incrementing key), and detecting deletes requires soft-delete flags or triggers because a plain SELECT cannot see removed rows. Stacksync's field mapping accounts for these differences between Gong and Jdbc 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 Gong and Jdbc records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gong and Jdbc connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gong–Jdbc integration in-house.
Yes — Stacksync ships production-grade connectors for both Gong and Jdbc. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Gong: Polling POST /v2/calls/extensive on fromDateTime/toDateTime; the public API exposes no outbound webhooks or CDC, though a Gong admin can configure a product-side automation Rule that POSTs matching calls to a URL. Transcripts and analysis appear only after asynchronous processing. On Jdbc: No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 454 integrations available for Gong and Jdbc.