Two-way sync
Changes in Amazon Redshift or Gong instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
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 Amazon Redshift as live tables, updated within seconds, and columns computed in Amazon Redshift write back to fields in Gong. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Gong's relationship data with billing, product, and support data in Amazon Redshift to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Amazon Redshift can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Gong are queryable in Amazon Redshift moments after they change, so dashboards stop lagging the reality they describe.
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 Redshift objects | Gong objects | How this pairing syncs | |
|---|---|---|---|
| Views SQL views readable as modeled sources for reverse syncs. | CRM Objects Accounts, opportunities, stages, and users uploaded into Gong through the CRM integration API so CRM context appears alongside conversations. Write (upload) path. | Views is specific to Amazon Redshift and CRM Objects to Gong — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | 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 is specific to Amazon Redshift and Library to Gong — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Data Privacy (Erasure) to Gong — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | 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 Redshift and Calls to Gong — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. | Users and Groups is specific to Amazon Redshift and Transcripts to Gong — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | 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. | Databases is specific to Amazon Redshift and Users 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Redshift 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 Redshift–Gong connection.
Changes in Amazon Redshift or Gong instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Redshift or Gong record.
Track your Amazon Redshift ⇄ Gong sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Redshift 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 Redshift 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 Redshift and Gong: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Amazon Redshift and Gong: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Gong's relationship data with billing, product, and support data in Amazon Redshift to build the customer picture the CRM alone cannot hold.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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. Stacksync manages authentication, retries, and rate limits on both sides.
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. Amazon Redshift: Its SQL dialect derives from PostgreSQL, so standard Postgres drivers connect, though not all Postgres features exist. Stacksync's field mapping accounts for these differences between Amazon Redshift and Gong 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 Amazon Redshift and Gong records are not retained after a sync operation.
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 565 integrations available for Amazon Redshift and Gong.