Guide

Where to sell data

Where to sell data depends on the dataset: compare cloud marketplaces, listing sites, brokers, direct deals and asset sales on fees and fit.

Updated

The short answer

Where to sell data depends on what you hold and who would buy it. Recurring, well-structured feeds suit cloud marketplaces such as AWS Data Exchange or Snowflake Marketplace. Listing sites like Datarade help buyers discover you. One-off or unusual datasets, such as codebases or company archives, usually sell through direct licensing, a broker, or an asset sale.

Five places data gets sold

Data changes hands through five broad routes. They are not interchangeable. A marketplace is a shop window and a billing system; it does little to find buyers for something they didn't know to search for. A broker does the opposite: no shop window, but active matchmaking. Picking the wrong route usually shows up as silence, not rejection.

Fees and requirements as published by each provider, checked 2026-11-07. Terms change; confirm on the provider's site before relying on them.
ChannelWho can sellWhat it costs the sellerBest for
AWS Data ExchangeRegistered AWS Marketplace sellers in eligible jurisdictions, after qualification by the AWS Data Exchange team3% listing fee on public offers; private offers 3% under $1M contract value, 2% from $1M to under $10M, 1.5% at $10M or more; data grants billed hourlyStructured files, APIs or tables that buyers already run on AWS
Snowflake MarketplaceFull Snowflake accounts with an approved provider profile and accepted provider termsPaid listings use usage-based or subscription pricing, paid out through Stripe; the pages we checked don't state Snowflake's shareTables buyers want to query inside their own Snowflake account
DataradeData providers who apply and are acceptedCommission-only plan with no subscription and a 30% commission; paid tiers lower the commission (Bronze 20%, Silver 15%, Gold custom) for an annual feeBeing found by buyers who search a catalogue of data products
A brokerAny owner with rights to licenseA commission or fee agreed in writing, deal by dealUnusual or one-off data where buyers must be found and convinced
Direct licensingAny owner with rights to licenseYour own time, legal fees and sales effortOwners who already know their buyers
Asset or wind-down saleCompanies closing, in bankruptcy, or selling assetsSet by the sale process, often with court or creditor oversightCodebases and workspace archives of closed companies

How to choose a channel

  1. 1

    Describe the dataset in one line

    Is it a refreshed feed, a one-time snapshot, or an archive? Feeds suit marketplaces with subscription billing. Snapshots and archives tend to sell through negotiation.

  2. 2

    Name five likely buyers

    If you can name them and they already buy similar data, go direct or through a broker. If you can't, a catalogue listing can help them find you, but only if they search for that kind of data.

  3. 3

    Check where your buyers work

    A buyer whose data team lives in Snowflake will find a Snowflake listing easier to trial and buy. A buyer on AWS can subscribe and pay through their existing AWS bill.

  4. 4

    Check eligibility before you plan around a platform

    AWS Data Exchange limits sellers to listed jurisdictions and requires qualification; Snowflake requires a full account and an approved profile for paid listings. Read the requirements first.

  5. 5

    Compare the real cost

    A low percentage fee still needs you to build the product page, support subscribers and keep the data updated. A broker's higher cut can still be cheaper than months of your own sales time. Write both down.

  6. 6

    Keep the licence yours

    Whichever channel you use, make sure the licence terms (permitted use, resale limits, exclusivity) are the ones you intend. Marketplaces offer standard terms; read them and add your own where allowed.

Which channel for which data

What you haveUsually start withWhy
A refreshed feed of market or company dataA cloud marketplace, plus a catalogue listingBuyers expect subscription billing and delivery into their tools
A large one-off archive (documents, emails, chats)A broker or direct approach to AI labsFew buyers, high scrutiny of rights and personal data
A codebase from a closed or pivoted productA broker, an AI lab directly, or an asset saleValue depends on history and rights, judged case by case
Customer records with personal dataA privacy lawyer before any channelSale may trigger state data broker laws and consent rules
A niche dataset with unknown demandA catalogue listing and a few direct conversationsCheap way to test whether anyone asks

Where marketplaces are the better choice

Marketplaces win when the data is a product rather than a deal: a feed with a schema that rarely changes, many potential buyers and a price that can be published. They handle billing, entitlements and delivery, and buyers can sign up without a long negotiation. If that describes your data, a broker adds cost for little benefit.

Brokers and direct deals win when each sale is different. Recent reporting shows AI labs and data companies buying code and workspace archives from shut-down startups, often through wind-down services, and a bankruptcy auction in which Google agreed to pay $10 million for Spirit Airlines' internal business data. Those are negotiated sales with legal review, not marketplace checkouts.

What this guide can't tell you

Sources

SourceWhat it supportsLinkChecked
AWS Marketplace listing feesAWS Data Exchange 3% public fee; private offer tiershttps://docs.aws.amazon.com/marketplace/latest/userguide/listing-fees.html2026-11-07
AWS Data Exchange pricingHourly charge for data grants; fees on revenue AWS collectshttps://aws.amazon.com/data-exchange/pricing/2026-11-07
AWS Data Exchange provider guideSeller eligibility, jurisdictions, qualificationhttps://docs.aws.amazon.com/data-exchange/latest/userguide/provider-getting-started.html2026-11-07
Snowflake: becoming a providerFull account, approved profile, Stripe payoutshttps://docs.snowflake.com/collaboration/provider-becoming2026-11-07
Snowflake: paid listing pricing modelsUsage-based and subscription pricinghttps://docs.snowflake.com/en/collaboration/provider-listings-pricing-model2026-11-07
Datarade provider plansCommission-only plan at 30%; tier commissionshttps://providers.datarade.ai/apply2026-11-07
MIT Technology Review, Oct 2026AI labs buying data from shut-down startupshttps://www.technologyreview.com/2026/10/13/1145755/ai-labs-buying-data-from-dead-startups-to-train-models/2026-11-07
iTnews (Reuters byline), Aug 2026Google's $10 million Spirit Airlines data purchasehttps://www.itnews.com.au/news/google-to-buy-spirit-airlines-business-data-for-us10-million-6282532026-11-07

Questions people ask

Is there one best data marketplace?

No. The right one is where your buyers already work. A buyer on AWS will find AWS Data Exchange easiest; a Snowflake shop will prefer a Snowflake listing. For data that needs explaining, no marketplace replaces a direct conversation.

Can individuals sell data on AWS Data Exchange?

AWS says providers must be permanent residents or citizens of an eligible jurisdiction, or a business organised there, be registered AWS Marketplace sellers and be qualified by the AWS Data Exchange team. In practice it is built for businesses with data products and customer support.

Does Datarade charge buyers?

Datarade's published provider plans charge sellers, through a commission and optional annual subscription. Check Datarade's own pages for current buyer terms before you rely on them.

Can I list the same data in several places?

Usually yes, unless you have granted someone exclusivity. Keep licence terms consistent across channels so one buyer's rights don't conflict with another's.

Where do closed companies sell their data?

Often through wind-down services, brokers or, in bankruptcy, a court-supervised asset sale. Rights and personal data get extra scrutiny because the people who created the data are no longer around to consent.

Related

Become a data broker

The DataBroker course and tools: find companies with data to sell, price it, license it and close the deal.