> For the complete documentation index, see [llms.txt](https://doc.thordata.com/doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.thordata.com/doc/faq/product-problem/multimodal-dataset/why-buy-from-thordata-instead-of-using-free-open-source-datasets.md).

# Why buy from Thordata instead of using free open-source datasets?

Open-source datasets are fine for prototyping and benchmarking, but they cannot give you scarce modalities, fresh data, licensing certainty, or custom collection — which is exactly where a commercial provider pays for itself.

The trade-offs are concrete. Coverage: open-source catalogs have almost nothing in low-resource Southeast Asian speech, first-person embodied AI video, or 90-billion-record platform metadata; Scale and freshness: open datasets are static snapshots, while commercial collections can be refreshed continuously; Compliance: open datasets often carry ambiguous or non-commercial licenses, whereas every Thordata dataset comes through a full-chain authorization and source-verification process; Customization: no open dataset will be re-annotated to your schema, but a custom collection will. A practical middle path many teams take: prototype on open data, then request free Thordata samples to compare quality directly before buying.