Two-way sync
Changes in Gainsight or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Gainsight and Yellowbrick in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Gainsight is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Success Plan, Task and Playbook, Custom Objects, Company from Gainsight into tables in Yellowbrick continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Yellowbrick can also be written back into fields in Gainsight where the tool can use them.
A continuously synced copy in Yellowbrick preserves a queryable record even as data ages out of Gainsight or gets changed inside it.
Records and events from Gainsight land in Yellowbrick as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Gainsight's data with data from every other synced system to answer questions no single tool can.
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.
| Gainsight objects | Yellowbrick objects | How this pairing syncs | |
|---|---|---|---|
| Relationship Sub-units within a company for multi-product or multi-team accounts; synced so each maps to the right contract in billing or an ERP. | Schemas Namespaces used to organize synced datasets by source or domain. | Relationship is specific to Gainsight and Schemas to Yellowbrick — each maps to any object or custom field on the other side. | |
| CTA (Call to Action) Risk and expansion alerts that drive CSM plays; often synced to ticketing or project tools so follow-up work is tracked where teams operate. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | CTA (Call to Action) is specific to Gainsight and Tables to Yellowbrick — each maps to any object or custom field on the other side. | |
| Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. | Views Logical views used to shape reads for BI and downstream syncs. | Scorecard Fact is specific to Gainsight and Views to Yellowbrick — each maps to any object or custom field on the other side. | |
| Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. | Users and Roles Access-control objects that govern what a sync service account can read and write. | Timeline Activity is specific to Gainsight and Users and Roles to Yellowbrick — each maps to any object or custom field on the other side. | |
| Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | Databases Top-level containers for schemas and tables. | Success Plan is specific to Gainsight and Databases to Yellowbrick — 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 Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.
DeliveryEach detected change is applied to Yellowbrick as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.
DeliveryEach detected change is written to Gainsight through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gainsight–Yellowbrick connection.
Changes in Gainsight or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gainsight or Yellowbrick data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gainsight or Yellowbrick record.
Track your Gainsight ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gainsight and Yellowbrick.
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 Gainsight and Yellowbrick 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 Gainsight and Yellowbrick 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 Gainsight and Yellowbrick: authenticate both systems, choose the objects to sync (such as Gainsight's Relationship and CTA (Call to Action)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Gainsight and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Gainsight: Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gainsight side: Success Plan, Task and Playbook, Custom Objects, Company, plus custom fields where Gainsight exposes them. On the Yellowbrick side: Users and Roles, Databases, Schemas, Tables. 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 Gainsight and Yellowbrick: History that outlives the tool; Analytics on Gainsight's data; Cross-tool reporting. A continuously synced copy in Yellowbrick preserves a queryable record even as data ages out of Gainsight or gets changed inside it.
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 436 integrations available for Gainsight and Yellowbrick.