Weatherstack to MongoDB Integration
AI-first ETL from Weatherstack into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Weatherstack into MongoDB
Datrise syncs Weatherstack's current conditions, forecasts, historical readings, locations, temperature readings, and observation times into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Weatherstack: Current, historical, and forecast weather lookups.
MongoDB: Document database for flexible schemas.
How Weatherstack entities map to MongoDB
| Weatherstack entity | MongoDB object | Notes |
|---|---|---|
| current conditions | weatherstack_current_conditions | id PK · custom fields → native nested documents |
| forecasts | weatherstack_forecasts | id PK · linked to weatherstack_current_conditions |
| historical readings | weatherstack_historical_readings | BSON Date events |
| locations | weatherstack_locations | id PK · linked to weatherstack_current_conditions |
FAQ
How does Datrise handle Weatherstack's custom fields in MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Weatherstack to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for Weatherstack
- Weatherstack → Supabase
- Weatherstack → Neon
- Weatherstack → PlanetScale
- Weatherstack → Amazon DynamoDB
- Weatherstack → Looker
- Weatherstack → Looker Studio
- Weatherstack → Microsoft Power BI
- Weatherstack → Tableau
- Weatherstack → Apache Superset
- Weatherstack → Metabase
- Weatherstack → Amazon QuickSight
- Weatherstack → Domo
Early access
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