DatriseAI-first ETL

Gainsight to PostgreSQL Integration

AI-first ETL from Gainsight into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Gainsight into PostgreSQL

Datrise syncs Gainsight's customers, health scores, playbooks, tasks, surveys, and usage metrics into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Gainsight: Customer success health scoring and playbooks.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Gainsight entities map to PostgreSQL

Gainsight entityPostgreSQL objectNotes
customersgainsight_customersid PK · custom fields → jsonb columns
health scoresgainsight_health_scoresid PK · linked to gainsight_customers
playbooksgainsight_playbooksid PK · linked to gainsight_customers
tasksgainsight_tasksid PK · linked to gainsight_customers

FAQ

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

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 PostgreSQL types.

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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