best data marketplace platforms 2026: where to buy and sell datasets

the top 10 data marketplaces in 2026 are aws data exchange, snowflake marketplace, databricks marketplace, dawex, datarade, narrative.io, bright data dataset marketplace, kaggle datasets, datafiniti, and data.world. aws and snowflake dominate enterprise. dawex and datarade are the leading neutral platforms. kaggle stays the largest free pool for analysts. each handles delivery, payouts, and licensing differently.

this guide breaks down what each platform sells, how sellers get paid, and which marketplace fits buyer use cases from b2b leads to alt-data hedge fund inputs.

quick comparison: 2026 data marketplaces

aws data exchange

aws data exchange is the default for enterprise buyers running on aws. data is delivered as files into your s3, redshift, or via api. payment runs through your aws bill so procurement is simple.

categories include financial data (refinitiv, factset), healthcare (iqvia), location (here, foursquare), and weather (the weather company). entry prices range from free to $50,000 per month for premium feeds.

sellers get 70 percent of revenue. integration with aws billing and analytics workloads is the moat. if your buyer or your team is already on aws, this is where to start.

snowflake marketplace

snowflake marketplace delivers data as live shares directly into your snowflake account. there is no etl or file copy; the data appears as a database you can query immediately.

this is the cleanest delivery model in the industry. for snowflake-native teams it is faster to integrate than any other marketplace by an order of magnitude.

sellers earn 90 percent of revenue, the highest split among major platforms. dataset count is smaller than aws but quality skews higher because most listings are vetted. categories include market data, identity graphs, and consumer panels.

databricks marketplace

databricks marketplace launched in 2023 and grew fast in 2025-2026. data is delivered as delta sharing tables, similar to snowflake’s live share but cross-cloud.

it currently leans heavily on free public datasets and ai training corpora. paid commercial listings exist but the catalog is smaller than snowflake. sellers earn 90 percent on paid datasets.

if your team is on databricks lakehouse, this is the natural fit. otherwise the snowflake or aws marketplaces have deeper paid catalogs.

dawex

dawex is the leading neutral b2b data exchange. it is cloud-agnostic, sells one-time and recurring data products, and runs in multiple regions including europe (gdpr-friendly defaults) and asia.

their seller dashboard is the most polished outside the hyperscalers. you upload, set licensing terms, price per buyer or per region, and dawex handles payments and contracts.

revenue share is 80/20 in favor of sellers. for vertical-specific datasets (mobility, energy, retail) dawex often has more depth than aws or snowflake.

datarade

datarade is more of a discovery layer than a marketplace. they list 2,500+ data products from 500+ providers, route buyer rfqs, and broker the deal. the actual data delivery happens off-platform between buyer and seller.

this works well for buyers who want one search across many providers. it is less smooth than snowflake’s in-account share. seller pricing is fully provider-set.

datarade is the right starting point if you do not yet know which provider has what you need. their search filters by category, geography, and use case are the best in the industry.

narrative.io

narrative.io specializes in identity, audience, and consumer data. they run a real-time bidding-style data ops platform where data is licensed in continuous streams, not files.

if you are buying audience segments for ad targeting, customer enrichment for crm, or identity graphs for fraud, narrative is purpose-built. for static datasets, look elsewhere.

bright data dataset marketplace

bright data sells pre-scraped public web data as datasets: linkedin profiles, amazon products, instagram, tiktok, glassdoor reviews, indeed jobs, and 200+ more. you buy the most recent snapshot or subscribe to refreshes.

this is single-seller (bright data only) but the depth on public web data is unmatched. for competitive intelligence, e-commerce pricing, and social listening, the time-to-data is faster than scraping yourself.

pricing is per record or per gb. for context on pricing benchmarks see our proxy pricing comparison and the best web scraping apis guide.

kaggle datasets

kaggle hosts 300,000+ free datasets used mainly by analysts, ml engineers, and competition participants. licensing varies; many are creative commons or public domain.

it is not a commercial marketplace. there is no payment infra and no commercial licensing layer. for prototyping a model or learning, it is the largest free pool. for production data licensing, look at the platforms above.

datafiniti

datafiniti specializes in business listings, product data, and property records as api endpoints. you pay per query or per record. the data is scraped and normalized from public sources.

it competes with bright data’s dataset marketplace and outscraper for similar use cases (lead enrichment, retail intelligence). for our take on the b2b lead tool category see outscraper vs phantombuster vs hunter.io.

data.world

data.world started as an open data community. in 2024 it pivoted to enterprise data catalog and governance, and the marketplace component is now secondary to their cataloging product.

for free open data with social features (comments, queries, shared notebooks) it remains useful. for commercial licensing it is no longer competitive.

buyer checklist before purchasing

four checks save weeks of contract back-and-forth.

licensing. confirm whether the data is licensed for internal use, commercial product use, or resyndication. these are three different price tiers on most platforms.

freshness. ask the seller for the typical data delivery cadence (real-time, daily, weekly, monthly) and what “current” means in their schema. some “live” feeds are 24 hours stale.

geography and pii. for eu and uk buyers, confirm gdpr basis. for california buyers, confirm ccpa compliance. data marketplaces are intermediaries, not regulators.

trial access. every reputable marketplace offers a sample. always pull 1,000 rows before committing to a year-long contract. many “verified” datasets are not what the marketing claims.

for news data buyers specifically see our news apis comparison which covers similar buying decisions for content feeds.

seller checklist before listing

want to monetize data you already collect? four things matter.

audience. listing on snowflake reaches snowflake customers. listing on aws reaches aws customers. listing on dawex reaches everyone but with less integration. pick by where your buyers already work.

revenue share. snowflake and databricks pay sellers 90 percent. aws is 70 percent. dawex is 80 percent. for high-volume listings the difference compounds.

delivery effort. live share platforms (snowflake, databricks) handle data ops for you. file delivery platforms (aws to s3) need more buyer-side wiring. for solo sellers, live share platforms are easier.

contracts. most platforms ship a default eula. read the resale, sublicensing, and warranty clauses. dawex and aws let you customize terms more than snowflake.

faq

what is the largest data marketplace in 2026?

aws data exchange has the most paid commercial listings at 3,500+. kaggle has the largest dataset count overall at 300,000+ but most are free and non-commercial.

what does a data marketplace charge sellers?

snowflake and databricks take 10 percent. dawex takes 20 percent. aws takes 30 percent. datarade and data.world have variable terms set by the seller. budget the platform cut into your retail price.

can i buy real-time data from a marketplace?

yes. snowflake live shares update in real time within snowflake. aws data exchange supports real-time api feeds for some sellers. for streaming-heavy use cases (ad targeting, fraud) narrative.io is purpose-built.

how do i evaluate dataset quality before buying?

every reputable marketplace offers a sample or trial. pull at least 1,000 rows, profile completeness, freshness, and schema accuracy, then run your actual production query against it. if the seller refuses a sample, walk away.

is data marketplace licensing compliant with gdpr?

it depends on the dataset and the seller’s lawful basis. eu and uk buyers should require the seller to disclose lawful basis (consent, legitimate interest, contract) and the data subject’s rights process. for context see the european commission data act overview.

do hedge funds buy from data marketplaces?

yes. alt-data is a multi-billion-dollar segment in 2026. funds typically buy from snowflake marketplace, aws data exchange, or specialized providers (yipitdata, second measure) directly. neutral marketplaces like dawex are less common in this segment.

the bottom line

for enterprise buyers on aws, snowflake, or databricks, use the marketplace native to your stack. for cross-cloud buyers, dawex is the cleanest neutral platform. for discovery, datarade is the search engine of data marketplaces.

for sellers, snowflake and databricks pay the best revenue share at 90 percent and handle data ops via live share. aws reaches the largest enterprise buyer base at a 70/30 cut. dawex sits in the middle on both axes and wins on neutrality.

run a sample pull before any contract. the gap between “marketplace listing” and “production-ready data feed” is wider than most buyers expect.