AWS Data Exchange
AWS Data Exchange brings external data providers into the AWS ecosystem. You browse or search for a product, subscribe, and then receive the data through Amazon S3, an API, or Amazon Redshift, depending on how the provider delivers it. Subscriptions can be one-off or ongoing, with new revisions arriving automatically.
The catalogue mixes free open datasets with paid commercial products across areas like finance, healthcare, retail, and location data. Because delivery happens within AWS, the data lands right next to your compute, which keeps processing fast and avoids extra transfer steps.
Each product sets its own price and licence, so read the terms before you subscribe. For RAG teams already building on AWS, it is a practical route to licensed third-party data that integrates with the tools you are already using.
Related sources
AWS Open Data Registry
A registry of high-value datasets hosted on AWS and made publicly available, covering genomics, geospatial data, climate, satellite imagery, and more. Over 300 PB of data in total, free to access: you pay only for the compute you use to process it.
Datahub.io
A platform for publishing and finding open data packages: datasets bundled with consistent metadata in standardised formats. It hosts curated collections of widely used reference data, from country codes to exchange rates, ready to drop into a pipeline.
Google Dataset Search
A search engine for datasets that indexes millions of them from thousands of repositories worldwide. It does not host data itself: it points you to wherever each dataset lives, which makes it a fast first stop when you are hunting for a source on a specific topic.
Hugging Face Datasets
The largest open hub for machine learning datasets, with well over 100,000 datasets you can search, stream, and version. Many RAG-ready corpora live here, and its Python library lets you pull data straight into a pipeline in a few lines.