Gainsight to PlanetScale Integration

How Datrise loads Gainsight into PlanetScale

Datrise syncs Gainsight's customers, health scores, playbooks, tasks, surveys, and usage metrics into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Gainsight: Customer success health scoring and playbooks.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Gainsight entities map to PlanetScale

Gainsight entity	PlanetScale object	Notes
customers	`gainsight_customers`	id PK · custom fields → JSON columns
health scores	`gainsight_health_scores`	id PK · linked to gainsight_customers
playbooks	`gainsight_playbooks`	id PK · linked to gainsight_customers
tasks	`gainsight_tasks`	id PK · linked to gainsight_customers

FAQ

How does Datrise handle Gainsight's custom fields in PlanetScale?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.

How does the Gainsight to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

Connect Gainsight to PlanetScale the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.