DatriseAI-first ETL

Openweather to DuckDB Integration

AI-first ETL from Openweather into DuckDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Openweather into DuckDB

Datrise syncs Openweather's current conditions, forecasts, locations, temperature readings, precipitation, and observation times into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Openweather: Current conditions and weather forecast data.

DuckDB: In-process analytics database for fast local OLAP.

How Openweather entities map to DuckDB

Openweather entityDuckDB objectNotes
current conditionsopenweather_current_conditionsid PK · custom fields → JSON or STRUCT columns
forecastsopenweather_forecastsid PK · linked to openweather_current_conditions
locationsopenweather_locationsid PK · linked to openweather_current_conditions
temperature readingsopenweather_temperature_readingsid PK · linked to openweather_current_conditions

FAQ

How does Datrise handle Openweather's custom fields in DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

How does the Openweather to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Openweather to DuckDB the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.