Glossary
What is a data marketplace?
A data marketplace lists datasets from many sellers in one catalogue, so buyers can search, sample and subscribe without separate negotiations.
Updated
Definition
A data marketplace is an online platform where many sellers publish datasets as listings and buyers browse, sample and subscribe to them under standard terms. The platform handles discovery, delivery and often billing, and usually takes a share of each sale.
In plain words
Think of a data marketplace as a shop window shared by hundreds of sellers. Each seller writes a listing: what the dataset contains, how often it refreshes, a sample, the price and the terms. Buyers search the catalogue the way they would search an app store, request access, and receive the data through the platform rather than by email or hard drive.
The cloud platforms run the best-known examples. AWS Data Exchange lets providers publish data products in AWS Marketplace, where subscribers accept an offer and get the files, an API or a Redshift share. Snowflake Marketplace lets providers share live tables with consumers without making a copy. Smaller, specialist marketplaces exist for areas such as finance, geospatial data and AI training sets.
What the platform does, and what it doesn't
- Discovery: a searchable catalogue with categories, descriptions and sample files.
- Delivery: access is granted inside the platform, so the buyer doesn't build a pipeline for each seller.
- Standard terms: a default subscription agreement that most listings reuse, with room for private offers.
- Billing: the platform collects payment and passes the seller its share.
- Screening: AWS, for example, reviews listings against its publishing rules and restricts some data types.
What a marketplace rarely does is vouch for the rights behind a listing. AWS tells buyers to carry out their own checks on privacy law compliance. The platform checks that a listing follows its rules; it does not audit where every row came from. That gap is where buyers still need their own diligence.
A worked example
Suppose a regional freight company records pickup times, dwell times at depots and lane volumes across several states. A retailer's analytics team would value it for forecasting. Selling privately means one long negotiation per buyer. Listing it on a cloud marketplace means writing the listing once, publishing a monthly refreshed table, and letting buyers subscribe under the platform's terms.
The listing route suits a dataset that many buyers want in roughly the same form. It works less well when the data is sensitive, needs custom cuts per buyer, or carries restrictions the standard agreement doesn't cover, such as a ban on resale to competitors of the freight company. In this illustration, a broker might help the company decide which route fits, prepare the listing and the sample, and handle the bespoke deals that sit outside the catalogue.
Marketplace compared with neighbouring terms
| Term | What it is | Who runs it | Role in a deal |
|---|---|---|---|
| Data marketplace | A catalogue where many sellers list and many buyers subscribe | A platform operator | Discovery, delivery and billing under standard terms |
| Data broker | A business that sells data or arranges its sale | A firm or individual | Finds the counterparty and shapes a bespoke agreement |
| Data as a service | Data delivered continuously by API or feed on subscription | The data owner or provider | The delivery model a listing may use |
| Data licensing | The legal permission to use a dataset on stated terms | Both parties, via contract | The agreement that sits under every sale |
What to check before listing or buying
- Rights: can the seller lawfully offer the data to anyone who subscribes, or only to named partners?
- Personal information: if any rows describe people, which privacy laws and registry rules follow the data?
- Terms: does the platform's default agreement cover permitted uses, resale and deletion at the end of the term?
- Fees: what share the platform keeps, and whether private offers carry a different rate.
- Lock-in: a listing on one cloud reaches only that cloud's customers.
Common misreadings
People sometimes assume a marketplace listing proves the data is clean and lawful. It doesn't. Others assume a marketplace replaces brokers entirely. For commodity datasets it often does. For one-off, high-value or sensitive datasets, most of the work is still negotiation, checking rights and drafting restrictions, which a catalogue doesn't do.
Sources
| Source | What it supports | Checked |
|---|---|---|
| AWS: What is AWS Data Exchange? | How providers publish data products, review of listings, and the advice that buyers do their own privacy checks | 2026-11-07 |
| Snowflake: About Snowflake Marketplace | Live sharing without copies, paid and free listings, and the provider and consumer roles | 2026-11-07 |
Questions people ask
What are examples of data marketplaces?
AWS Data Exchange, which lists data products in AWS Marketplace, and Snowflake Marketplace are two of the largest. There are also niche platforms focused on single sectors, such as financial or location data.
How do data marketplaces make money?
Usually by taking a fee or percentage on each paid subscription, and sometimes by charging for the cloud computing and storage that buyers use to query the data.
Is a data marketplace the same as a data exchange?
The names overlap. Exchange often describes a narrower network where members trade or share with each other, sometimes privately. Marketplace usually means a public catalogue open to many buyers.
Can a small company sell data on a marketplace?
Often yes, if it meets the platform's seller eligibility rules and publishing guidelines. The harder questions are whether it has the right to sell the data and whether any of it is personal information.
Related
Become a data broker
The DataBroker course and tools: find companies with data to sell, price it, license it and close the deal.