Weatherstack to Domo Integration
AI-first ETL from Weatherstack into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Weatherstack into Domo
Datrise syncs Weatherstack's current conditions, forecasts, historical readings, locations, temperature readings, and observation times 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
Weatherstack: Current, historical, and forecast weather lookups.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Weatherstack entities map to Domo
| Weatherstack entity | Domo object | Notes |
|---|---|---|
| current conditions | weatherstack_current_conditions | id PK · custom fields → flattened columns for Magic ETL |
| forecasts | weatherstack_forecasts | id PK · linked to weatherstack_current_conditions |
| historical readings | weatherstack_historical_readings | date/time columns events |
| locations | weatherstack_locations | id PK · linked to weatherstack_current_conditions |
FAQ
How does Datrise handle Weatherstack'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 Weatherstack to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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