Totango to Birst Integration
AI-first ETL from Totango into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Totango into Birst
Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Totango: Customer journey orchestration for retention teams.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Totango entities map to Birst
| Totango entity | Birst object | Notes |
|---|---|---|
| accounts | totango_accounts | id PK · custom fields → flattened columns |
| 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Totango to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Totango
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