Two-way sync
Changes in Amazon RDS or Gong instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Gong 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 Amazon RDS, where it can be queried and joined like everything else.
Stacksync mirrors Transcripts, Users, Interaction Stats (Activity), Trackers & Scorecards from Gong into Views, Columns, Primary and Unique Keys, Read Replicas in Amazon RDS 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 Amazon RDS 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 Amazon RDS, 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.
| Amazon RDS objects | Gong objects | How this pairing syncs | |
|---|---|---|---|
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | 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. | Read Replicas is specific to Amazon RDS and Data Privacy (Erasure) to Gong — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | 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. | Stored Procedures is specific to Amazon RDS and Calls to Gong — each maps to any object or custom field on the other side. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. | Databases is specific to Amazon RDS and Transcripts to Gong — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | 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. | Schemas is specific to Amazon RDS and Users to Gong — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | 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 is specific to Amazon RDS and Interaction Stats (Activity) to Gong — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Trackers & Scorecards Keyword and topic tracker definitions plus coaching scorecards, including answered scorecards, read from Settings as coaching and deal-risk signals. Read-only. | Views is specific to Amazon RDS and Trackers & Scorecards to Gong — 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 Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Gong through its API, with automatic retries and rate-limit backoff.
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 Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Gong connection.
Changes in Amazon RDS or Gong instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Gong data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or Gong record.
Track your Amazon RDS ⇄ Gong sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Gong.
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 Amazon RDS and Gong 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 Amazon RDS and Gong 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 Amazon RDS and Gong: authenticate both systems, choose the objects to sync (such as Amazon RDS's Read Replicas and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Amazon RDS and Gong records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon RDS and Gong connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–Gong integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and Gong. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gong side: Transcripts, Users, Interaction Stats (Activity), Trackers & Scorecards, plus custom fields where Gong exposes them. On the Amazon RDS side: Views, Columns, Primary and Unique Keys, Read Replicas. Stacksync auto-detects both schemas and converts types between the two systems.
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 477 integrations available for Amazon RDS and Gong.