Pendo → Domo
AI-first ETL from Pendo into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into Domo
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
Pendo: Product analytics and in-app guidance for SaaS teams.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Pendo entities map to Domo
| Pendo entity | Domo object | Notes |
|---|---|---|
| events | pendo_events | date/time columns events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the Pendo to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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