How to choose a data marketplace

A data marketplace is where you go to buy — or occasionally sell — third-party data: firmographic, geolocation, financial, weather, ESG, census and dozens of other categories, from a provider who isn't your company. Some marketplaces are distribution channels built into a platform you already use, delivering data straight into your data warehouse or data lakehouse with no file to download. Others are independent directories that connect you to a provider regardless of what platform you run. A minority let you run your own private marketplace rather than shop on someone else's.

You need one of these when you've concluded the data genuinely has to come from outside — census figures, market pricing, supplier risk scores, weather history — not when the problem is finding data your own company already collects somewhere. For that, look at data catalog and governance tooling instead.

Cloud-native listing vs platform-agnostic directory

This is the first fork. AWS Data Exchange, Databricks Marketplace and Snowflake Marketplace are not separate products — they are marketplaces built into a cloud platform, and each one only helps you if you already run that platform. Datasets show up directly in your S3 bucket, your Delta Sharing-connected workspace, or your Snowflake account, with no ETL step and no separate download. Datarade takes the opposite approach: it is a vendor-neutral directory across thousands of providers, not tied to any cloud, and delivery method (file, API, or one of the cloud marketplaces itself) is whatever the individual provider offers. If your team is committed to one cloud platform, the native marketplace is usually the path of least friction; if you're comparing providers across categories before committing to any one source, a directory like Datarade is built for that comparison shopping, not for delivery convenience.

Who actually sets the price and guarantees the data

On every listing-based marketplace in this category — AWS Data Exchange, Databricks Marketplace, Snowflake Marketplace, and the listings surfaced through Datarade or Nasdaq Data Link — the platform is not the seller. Price, refresh schedule, license terms and data quality are set by the individual data provider; the marketplace handles discovery, delivery and, in most cases, billing. That means due diligence on a specific listing's data quality and reliability is on you, not the marketplace operator, regardless of how polished the marketplace itself is. Google Cloud Datasets is the exception worth knowing about: it's Google's own curated collection of free public datasets pre-loaded into BigQuery, with no third-party provider relationship and no per-listing negotiation, but also no SLA.

Running your own marketplace instead of buying on one

Dawex doesn't fit the same shelf as the rest of this category — it sells the infrastructure for an organization, industry consortium, or government body to build and operate its own governed marketplace, internal or external. If your actual need is "we want to share data with business units or partners under our own rules," that's a different buying decision than "we want to find a provider of supply-chain risk scores," and Dawex is built for the former.

Delivery model and lock-in

Because AWS Data Exchange, Databricks Marketplace and Snowflake Marketplace deliver data natively into their own platform, switching clouds later means re-establishing every subscription on the new platform — there's no portable "export the marketplace." Datarade and Nasdaq Data Link, by contrast, are already an abstraction layer over many providers and delivery methods, so the lock-in risk sits with the individual provider's contract rather than the marketplace itself. Weigh this against the convenience: native delivery with zero ETL is a real advantage day to day, it's just one that has a cost if your platform changes later.

How pricing works in this category

Most listings here are quote-based or set per-provider rather than published by the marketplace: AWS Data Exchange, Databricks Marketplace, Snowflake Marketplace, Datarade and Nasdaq Data Link all route pricing to the individual data provider, so what you pay depends entirely on which dataset you pick, not which marketplace lists it. Google Cloud Datasets is the one genuinely free option in this category — you pay only standard BigQuery query costs, with a monthly free allowance. Dawex is licensed as infrastructure to the organization operating the marketplace, not to data buyers.

A shortlist by situation

• Already standardized on AWS and want data billed through your existing account: AWS Data Exchange.
• Running the Databricks Lakehouse and want data or models shared straight into your workspace, even from non-Databricks recipients: Databricks Marketplace, built on the open Delta Sharing protocol.
• A Snowflake shop wanting third-party data queryable without any ETL: Snowflake Marketplace.
• Comparing providers across categories and clouds before committing to one: Datarade.
• Need one consistent API across many financial, economic or alternative datasets: Nasdaq Data Link for alternative data and market data specifically.
• Just want free, well-known public reference data inside a BigQuery workflow: Google Cloud Datasets.
• Want to run your own branded marketplace for partners or business units: Dawex.

Questions to ask a provider or platform

1. Who is actually responsible for accuracy and refresh cadence — the marketplace, or the individual provider?
2. What's the licensing scope: internal analytics only, or can the data be redistributed or used in a customer-facing product?
3. If the underlying provider stops publishing, what's the notice period, and does the marketplace flag stale listings?
4. Does the delivery method (native share, API, file) fit your existing pipeline, or does it require new ingestion work regardless of the marketplace's promise of "no ETL"?
5. For paid listings, is pricing a one-time purchase, a subscription, or usage-based — and does that match how you'll actually consume the data?

Common mistakes

Assuming a marketplace vouches for data quality the way an app store vouches for security — most don't, and data governance of what you bring in is still your job. Picking the marketplace before confirming the specific dataset you need is actually listed there; breadth varies a lot by category. Underestimating switching cost when data is delivered natively into one cloud platform. And treating a "free" public dataset as free at any volume — Google Cloud Datasets' generous BigQuery allowance still has a ceiling.

For two head-to-head looks at specific pairs, see AWS Data Exchange vs Snowflake Marketplace and Databricks Marketplace vs Snowflake Marketplace. Every tool in this category is listed at /tools/category/data-marketplaces-exchanges/.