DatriseAI-first ETL

Totango to Airtable Integration

AI-first ETL from Totango into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Totango into Airtable

Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Totango: Customer journey orchestration for retention teams.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Totango entities map to Airtable

Totango entityAirtable objectNotes
accountstotango_accountsid PK · custom fields → long-text JSON or linked records for nested data
userstotango_usersid PK · linked to totango_accounts
success playstotango_success_playsid PK · linked to totango_accounts
health scorestotango_health_scoresid PK · linked to totango_accounts

FAQ

How does Datrise handle Totango's custom fields in Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

How does the Totango to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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