Totango to Amazon QuickSight Integration

How Datrise loads Totango into Amazon QuickSight

Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Totango: Customer journey orchestration for retention teams.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Totango entities map to Amazon QuickSight

Totango entity	Amazon QuickSight object	Notes
accounts	`totango_accounts`	id PK · custom fields → flattened columns for analyses
users	`totango_users`	id PK · linked to totango_accounts
success plays	`totango_success_plays`	id PK · linked to totango_accounts
health scores	`totango_health_scores`	id PK · linked to totango_accounts

FAQ

How does Datrise handle Totango's custom fields in Amazon QuickSight?

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

How does the Totango to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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