Totango to Mode Integration
AI-first ETL from Totango into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Totango into Mode
Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Totango: Customer journey orchestration for retention teams.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Totango entities map to Mode
| Totango entity | Mode object | Notes |
|---|---|---|
| accounts | totango_accounts | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Totango to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Totango
Early access
Connect Totango to Mode the easy way
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