Gainsight to Neon Integration
AI-first ETL from Gainsight into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Gainsight into Neon
Datrise syncs Gainsight's customers, health scores, playbooks, tasks, surveys, and usage metrics into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Gainsight: Customer success health scoring and playbooks.
Neon: Serverless Postgres destination with branching and autoscaling.
How Gainsight entities map to Neon
| Gainsight entity | Neon object | Notes |
|---|---|---|
| customers | gainsight_customers | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Gainsight to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
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Early access
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