Public datasets · Cloud public-data warehouse
Run SQL exploration and repeatable benchmarks on public mobility, weather, economic, and other datasets without first operating a data lake; validate schemas and analytics features for a SaaS prototype. Developer and data-product founders can test analytical workloads, create reproducible demos, and estimate warehouse economics against real public data using SQL and standard cloud tooling.
Put it to work
Run SQL exploration and repeatable benchmarks on public mobility, weather, economic, and other datasets without first operating a data lake; validate schemas and analytics features for a SaaS prototype. Developer and data-product founders can test analytical workloads, create reproducible demos, and estimate warehouse economics against real public data using SQL and standard cloud tooling.
Choose one question the available fields and coverage can answer. Check a small relevant slice before committing to a larger analysis or publishing a comparison.
What it covers
Geography: Use the geography stated by the source; coverage can vary by dataset and release.
Granularity: Run SQL exploration and repeatable benchmarks on public mobility, weather, economic, and other datasets without first operating a data lake; validate schemas and analytics features for a SaaS prototype.
Source type: Cloud public-data warehouse
Access and cost
Use BigQuery through the console or APIs with a Google Cloud project; the sandbox can be used without a billing account or credit card, while normal querying is subject to BigQuery pricing and free-tier terms.
Cost: The source describes public or free access; confirm any API, bulk-download, and reuse terms directly.
Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.
Before you use it
Google states there is no service-level agreement for the Public Dataset Program. Dataset-specific licenses and freshness still govern reuse, and query/egress costs can apply beyond free allowances.