Two-way sync
Changes in Gong or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Gong and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Transcripts, Users, Interaction Stats (Activity), Trackers & Scorecards from Gong land in StarRocks as live tables, updated within seconds, and columns computed in StarRocks write back to fields in Gong. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in StarRocks can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Gong are queryable in StarRocks moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in StarRocks appear as fields in Gong, where the people working accounts actually see them.
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 | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Columns Columnar storage with types mapped from source systems during sync. | Interaction Stats (Activity) is specific to Gong and Columns to StarRocks — each maps to any object or custom field on the other side. | |
| Trackers & Scorecards Keyword and topic tracker definitions plus coaching scorecards, including answered scorecards, read from Settings as coaching and deal-risk signals. Read-only. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Trackers & Scorecards is specific to Gong and Databases to StarRocks — each maps to any object or custom field on the other side. | |
| CRM Objects Accounts, opportunities, stages, and users uploaded into Gong through the CRM integration API so CRM context appears alongside conversations. Write (upload) path. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | CRM Objects is specific to Gong and Tables to StarRocks — each maps to any object or custom field on the other side. | |
| Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Library is specific to Gong and Materialized views to StarRocks — 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. | Views Logical views for shaping analytical reads. | Data Privacy (Erasure) is specific to Gong and Views to StarRocks — 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. | Partitions Time or range partitions that scope loads and retention. | Calls is specific to Gong and Partitions to StarRocks — 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 StarRocks as a row-level write, with types converted between the two schemas.
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 Gong through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gong–StarRocks connection.
Changes in Gong or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong or StarRocks 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 StarRocks record.
Track your Gong ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong and StarRocks.
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 StarRocks 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 StarRocks 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 StarRocks: authenticate both systems, choose the objects to sync (such as Gong's Interaction Stats (Activity) and Trackers & Scorecards), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Gong side: Transcripts, Users, Interaction Stats (Activity), Trackers & Scorecards, plus custom fields where Gong exposes them. On the StarRocks side: Columns, Databases, Tables, Materialized views. 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 Gong and StarRocks: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in StarRocks can be written back, so warehouse-side cleanup actually fixes the CRM.
Gong: REST API on api.gong.io/v2 - retrieval endpoints (calls, transcript, users, stats, settings, library, logs) plus write endpoints for importing calls, uploading CRM data, and data-privacy erasure. Authentication: Basic authorization header combining an Access Key and Access Key Secret (created by a Gong technical admin, base64-encoded as key:secret); OAuth 2.0 Bearer tokens are supported for marketplace apps. StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
Gong: Authentication uses a Basic authorization header built from an Access Key and Access Key Secret generated by a Gong technical admin, or OAuth 2.0 Bearer tokens for marketplace apps. StarRocks: The Primary Key table model supports real-time upserts and deletes, which suits applying change streams from operational systems. Stacksync's field mapping accounts for these differences between Gong and StarRocks without custom code.
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 457 integrations available for Gong and StarRocks.