DatriseAI-first ETL

Gainsight to Azure Synapse Integration

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

How Datrise loads Gainsight into Azure Synapse

Datrise syncs Gainsight's customers, health scores, playbooks, tasks, surveys, and usage metrics into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Gainsight: Customer success health scoring and playbooks.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Gainsight entities map to Azure Synapse

Gainsight entityAzure Synapse objectNotes
customersgainsight_customersid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

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

How does the Gainsight to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

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