Amplitude → Domo
AI-first ETL from Amplitude into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Domo
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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
Amplitude: Product analytics source for events, funnels, and cohorts.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Amplitude entities map to Domo
| Amplitude entity | Domo object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/time columns events |
| user properties | amplitude_user_properties | id PK · linked to amplitude_product_events |
| funnels | amplitude_funnels | id PK · linked to amplitude_product_events |
| cohorts | amplitude_cohorts | id PK · linked to amplitude_product_events |
FAQ
How does Datrise handle Amplitude'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 Amplitude to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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