Totango to Redash Integration
AI-first ETL from Totango into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Totango into Redash
Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Totango: Customer journey orchestration for retention teams.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Totango entities map to Redash
| Totango entity | Redash object | Notes |
|---|---|---|
| accounts | totango_accounts | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Totango to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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