Best Data Marketplaces (2026)
To find and buy third-party data, start with Datarade, which is free for buyers, or with the marketplace inside your warehouse: Snowflake Marketplace or Databricks Marketplace. Investment firms buying alternative data should look at Eagle Alpha and Neudata. Data providers who want their own branded storefront should compare Harbr and Monda, while Opendatabay suits sellers who want a self-serve listing with a published commission.
Our top picks at a glance
| Product | Best for | Starting price | Free trial |
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Buyers comparing data providers across many categories | Free for buyers; providers pay Datarade when a sale is made (rates not published) | Not stated |
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Teams that already store and analyze data in Snowflake | Listings priced by each provider; Snowflake itself is consumption-based (on-demand or pre-paid capacity) | Yes |
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Databricks users who want data plus models and notebooks | Listings priced by each provider; Databricks is pay-as-you-go per DBU with a free trial and Free Edition | Yes |
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Buying ready-made web datasets for AI and ecommerce analysis | Up to $0.0025 per record, $250 minimum order; recurring refresh subscriptions discounted | Not stated |
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Funds and private equity firms buying alternative data | Custom quote | Not stated |
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Investment teams scouting alternative datasets | Pricing not published; free listings for data sellers, no commission on deals | Not stated |
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Selling or buying licensed AI training datasets self-serve | Free to list; seller commission from 30% down to 5% depending on sale value | Not stated |
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AI teams buying speech, text and image training data | Custom quote; free dataset samples on request | Not stated |
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Enterprises launching a private or branded data marketplace | Custom quote | Not stated |
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Data companies selling and delivering data products | Custom quote; extra syncs $500 per 1,000 (Standard) or $200 per 1,000 (Professional), $0.30/GB on Monda-hosted infrastructure | Not stated |
What is Data Marketplaces?
A data marketplace is a platform where organizations discover, evaluate, buy, sell or license datasets. Buyers search a catalog, request samples, check licensing terms and then receive the data as a file download, an API, or a live share into their cloud warehouse. Sellers list data products, set prices and access rules, and get paid when a deal closes.
The category covers several different business models. Some marketplaces are open catalogs that connect buyers with thousands of providers and earn a fee from the seller. Some are built into data platforms such as Snowflake and Databricks, so purchased data lands next to your own tables with no pipeline to build. Others are software that a data provider or a large enterprise runs to operate its own private or branded marketplace. Knowing whether you are buying data, selling data, or running an exchange is the first decision.
Types of Data Marketplaces
Open data catalogs and brokers
Platforms such as Datarade that list products from thousands of providers across categories like B2B contact, location, ecommerce and financial data. Free for buyers to browse; providers pay when a sale happens.
Cloud warehouse marketplaces
Snowflake Marketplace and Databricks Marketplace let you subscribe to listings and query them inside your existing account through zero-copy sharing. Costs combine the provider's price with your normal compute usage.
Alternative data platforms for investors
Eagle Alpha and Neudata focus on hedge funds, private equity and corporates buying non-traditional data such as card transactions, web traffic or satellite imagery, and add research, scouting and compliance support.
Ready-made dataset stores
Bright Data, Opendatabay and Defined.ai sell finished datasets, often web data or AI training data, priced per record or per dataset with samples to download first.
Marketplace software for data sellers
Harbr and Monda give data providers and enterprises the tools to run their own branded marketplace or data distribution service, with entitlements, checkout and delivery to cloud destinations.
The best Data Marketplaces in detail
1. Datarade
Datarade is a B2B data marketplace and catalog listing products from more than 2,700 providers across over 560 data categories. Buyers can search by category or use case, preview samples, and get free sourcing help from the Datarade team. The service is free for buyers because Datarade is paid by the provider when a purchase happens. Individual listings show their own prices, which range from on request to fixed annual fees.
Pricing: Free for buyers; providers pay Datarade when a sale is made (rates not published) (pricing page)
- Free for buyers, including sample previews and sourcing advice
- Very broad catalog covering hundreds of data categories
- Useful for comparing several providers of the same data type
- Many listings show pricing only on request
- Seller fee structure is not published
Snowflake Marketplace connects Snowflake customers to more than 820 providers and over 3,400 live listings, including datasets, apps and agents. Purchased data is shared into your account, so you query it with SQL without building ingestion pipelines. Under the Marketplace Capacity Drawdown Program, some purchases can count against your existing Snowflake commitment. Each listing sets its own price, and you also pay Snowflake's consumption-based compute and storage.
Pricing: Listings priced by each provider; Snowflake itself is consumption-based (on-demand or pre-paid capacity) (pricing page)
- Data arrives as a live share with no pipelines to maintain
- Large provider ecosystem in one place
- Some purchases can draw down existing Snowflake spend
- Only practical if you use Snowflake
- Compute costs come on top of the provider's price
Databricks Marketplace is an open exchange for data and AI assets, including datasets, ML models, notebooks, applications and dashboards. Providers such as LSEG, Dun & Bradstreet, FactSet, Moody's and Crunchbase list products there. It uses an open sharing protocol, so data can be shared across clouds and regions. Many listings include sample data and notebooks for evaluation. Listing prices are set by each provider; the Databricks platform is pay-as-you-go.
Pricing: Listings priced by each provider; Databricks is pay-as-you-go per DBU with a free trial and Free Edition (pricing page)
- Sells models and notebooks as well as datasets
- Open sharing works across clouds and platforms
- Sample data and notebooks help you evaluate before buying
- Most valuable if your team already works in Databricks
- No marketplace-wide price list
4. Bright Data
Bright Data's dataset marketplace sells validated data collected from public websites: over 1,000 datasets across more than 250 domains, such as company profiles, Amazon products, Google Maps listings, Zillow properties and social media posts. You can download samples and data dictionaries before buying. Data is delivered as JSON, CSV, Parquet or XLSX to S3, Snowflake, Azure, an API or a webhook. Refresh subscriptions cut the per-record price.
Pricing: Up to $0.0025 per record, $250 minimum order; recurring refresh subscriptions discounted (pricing page)
- Published per-record pricing and a low minimum order
- Free sample downloads and data dictionaries
- Delivery to cloud storage, warehouses or API
- Limited to data collected from public web sources
- Buyers must check terms for how scraped data may be used
5. Eagle Alpha
Eagle Alpha is an alternative data aggregation platform and advisor that lists more than 2,500 alternative data products for funds, private equity firms, consultants and corporates. Beyond the catalog it offers data sourcing support, a compliance product called Surveyor for vetting vendors, premium research content, and events that connect buyers with vendors. Data vendors can also use Eagle Alpha to reach buyers. Pricing is handled through a demo and sales conversation.
Pricing: Custom quote (pricing page)
- Focused on the investment use case
- Compliance tooling for vendor due diligence
- Advisory help for teams new to alternative data
- No published pricing
- Less relevant outside finance and investing
6. Neudata
Neudata connects data buyers and sellers and adds research on alternative data. Its catalog covers more than 7,000 datasets from over 4,200 providers, with 10,400 plus dataset reports written by its scouting team. Sellers can list datasets for free, and Neudata says it does not take a cut of transactions. Buyers get research, vendor updates and consulting rather than a checkout, so contracts are signed directly with the provider.
Pricing: Pricing not published; free listings for data sellers, no commission on deals (pricing page)
- Large catalog with independent dataset reports
- No commission on transactions
- Free listings for data providers
- Buyer subscription pricing is not published
- Deals are completed off-platform with each provider
7. Opendatabay
Opendatabay is a licensed data marketplace for buying, selling and exchanging AI-ready data, including text, image, audio, video and code datasets for model training and fine-tuning. It also runs an open data repository. Listing is free for sellers, and the fee schedule is public: commission starts at 30% on small sales and falls in steps to 5% on sales above $250,000. Prices on the marketplace are in US dollars.
Pricing: Free to list; seller commission from 30% down to 5% depending on sale value (pricing page)
- Fully published commission schedule
- Free listings and self-serve sales
- Focus on commercially licensed AI training data
- 30% commission on small sales is high
- Smaller catalog than the large general marketplaces
8. Defined.ai
Defined.ai sells ready-to-use AI training datasets in audio, image, video, text and multimodal formats covering more than 150 countries and 500 languages. It also offers custom data collection, annotation and model evaluation through a network of contributors. The company holds ISO 27001, 27701 and 42001 certifications and positions its data as ethically sourced. Free samples and quotes are available on request through sales.
Pricing: Custom quote; free dataset samples on request (pricing page)
- Wide language coverage for speech and text data
- Can commission custom collection and annotation
- Security and AI management certifications
- No published dataset prices
- Narrowly focused on AI training data
9. Harbr
Harbr is white-label software for running a secure data marketplace, data exchange or data distribution platform. Providers control pricing and access in a branded environment, multiple participants can share and consume data under shared governance, and data products can be delivered continuously through export pipelines or zero-copy shares. It includes self-service discovery, granular access controls, subscription management and audit trails. Pricing is by conversation with sales.
Pricing: Custom quote (pricing page)
- Supports marketplace, exchange and distribution models
- Zero-copy sharing as well as export pipelines
- Detailed access controls and audit trails
- No published pricing
- Built for enterprises, not individual sellers
10. Monda
Monda is a commerce platform for data providers. It onboards data from your sources, packages it into products, governs access rights and delivers to buyers through a UI, API, cloud data warehouses or SFTP, with consumption monitoring. The Standard plan includes a white-label marketplace and 1,000 syncs per month; Professional adds bring-your-own infrastructure, SSO and API access. Base plan prices are quoted, but overage rates are published.
Pricing: Custom quote; extra syncs $500 per 1,000 (Standard) or $200 per 1,000 (Professional), $0.30/GB on Monda-hosted infrastructure (pricing page)
- White-label marketplace included from the Standard plan
- Delivers to warehouses, API and SFTP
- Published overage and data transfer rates
- Base plan prices require a quote
- Aimed at sellers, not buyers
Key features to look for
Samples and data dictionaries
Look for free sample files, schema documentation and field definitions so you can test coverage and quality before you sign a contract.
Clear licensing terms
Each listing should state permitted uses, redistribution rights, term length and whether the data can be used to train AI models.
Delivery options
Check whether data arrives as a download, an API, delivery to S3 or SFTP, or a live share into Snowflake or Databricks. Live shares avoid pipeline work and stay current.
Refresh frequency
Many datasets go stale quickly. Confirm how often the provider updates the data and whether refreshes cost extra or come with a subscription.
Provenance and compliance
For personal or scraped data, ask how it was collected and whether it meets GDPR, CCPA or HIPAA requirements. Investment buyers often need formal vendor due diligence.
Seller tools
If you are selling, look for entitlements, usage tracking, checkout and billing, and support for the delivery methods your buyers expect.
How to choose
Decide whether you are buying, selling or running an exchange
Buyers need catalogs and samples (Datarade, Snowflake, Databricks). Sellers need distribution and billing (Monda, Opendatabay). Enterprises sharing data with partners need marketplace software (Harbr).
Match the marketplace to your data stack
If your analytics run in Snowflake or Databricks, their built-in marketplaces remove ingestion work. Otherwise choose a provider that delivers to your storage or via API.
Match the domain
Investment teams get more from Eagle Alpha or Neudata. AI teams should look at Defined.ai, Opendatabay or Bright Data. General B2B data buyers are best served by broad catalogs.
Understand the fee model
Some marketplaces are free for buyers and charge sellers, some take a commission, and some sell software subscriptions. Opendatabay and Bright Data publish their rates; most others quote.
Check usage rights before price
A cheap dataset is useless if the license bans your use case. Read redistribution and AI training clauses first.
How much does Data Marketplaces cost?
Pricing in this category depends on which side of the deal you are on. Buyers usually pay the data provider's price, which ranges from per-record pricing (Bright Data charges up to $0.0025 per record with a $250 minimum order) to annual licenses in the tens of thousands of dollars. Catalogs such as Datarade are free for buyers, and the cloud marketplaces add only your normal Snowflake or Databricks compute and storage.
Sellers pay either a commission or a software fee. Opendatabay lists for free and takes 30% on small sales, dropping to 5% above $250,000, while Neudata says it takes no cut. Marketplace software such as Harbr and Monda is quoted on request; Monda publishes overage rates of $200 to $500 per 1,000 extra syncs and $0.30/GB for hosted delivery.
2 of 10 offer a free trial. 3 of 10 offer a free plan.
Frequently asked questions
What is the difference between a data marketplace and a data broker?
A data broker collects and sells its own data. A data marketplace is a platform that lists data from many providers, lets you compare them, and handles discovery, samples and sometimes checkout and delivery. Some marketplaces also offer sourcing help, which makes them act a little like a broker, but the data itself comes from third-party providers.
Are data marketplaces free to use?
Browsing usually is. Datarade is free for buyers and is paid by providers on a sale. Snowflake and Databricks marketplaces are open to their customers, though you pay for compute when you query data and many listings carry a provider price. Sellers typically pay a commission or a platform fee.
Can I sell my company's data on a marketplace?
Yes, if you have the rights to it. Open marketplaces such as Opendatabay let you list self-serve, and catalogs such as Datarade and Neudata accept provider applications. Check that you have consent and contractual rights to share the data, remove personal information where required, and write a clear license covering permitted uses.
What about AWS Data Exchange and Google Cloud?
The major clouds run their own data exchanges that work like Snowflake and Databricks marketplaces: you subscribe to listings and the data is delivered into your cloud account. If your data already lives in one of those clouds, check its exchange alongside the platforms in this guide.
How do I check data quality before buying?
Ask for a sample covering your target geography and time period, and test it against data you already trust. Review the data dictionary, the refresh schedule and how the data was collected. For larger purchases, negotiate a trial period or a short initial term before committing to a multi-year license.
How we chose
We started from the 935 Data Marketplaces products in the SaaS Browser database, ranked by Domain Rating, a 0 to 100 score of how many websites link to each product. We set aside products that are misfiled, inactive or not really Data Marketplaces, then read each remaining product's website and pricing page ourselves. Prices are as each vendor published them on October 23, 2026. They change, so confirm on the vendor's site before you buy. No vendor paid to be included.
James has been building, growing and selling SaaS businesses since 2009, in online gaming, marketing tools for apparel and Amazon FBA sellers, and land investing. He has led the engineering team at a fast-growing Inc. 500 company. He holds a bachelor's degree in physics, a master's degree in mathematics, the CompTIA CASP+ certification and a Graduate Certificate in Data Science from Harvard Extension School.
Data Marketplaces market data
Key Data Points for Data Marketplaces
Company Size Distribution9
Most Established Data Marketplaces Companies
| Company | Employees | Domain Rating | Founded | Added |
|---|---|---|---|---|
| Trading Economics | — | 89 | — | 2025-03-13 |
| Euromonitor | 5,000 | 82 | 1972 | 2025-07-04 |
| ADS-B Exchange | 10 | 74 | — | 2025-02-28 |
| MutualArt | 200 | 74 | 2008 | 2025-06-21 |
| Coresight | 200 | 72 | 2014 | 2025-04-06 |
| Flippa | 200 | 72 | — | 2025-02-27 |
| Greenbook | 50 | 71 | — | 2025-03-08 |
| ECDB | 200 | 69 | — | 2026-01-08 |
| Bloomberg Second Measure | 200 | 69 | 2015 | 2025-02-04 |
| MarketCast | 1,000 | 66 | 1988 | 2026-02-21 |
Top 10 Countries for Data Marketplaces SaaS
The following countries represent where most Data Marketplaces SaaS companies are headquartered, based on our data for 855 software products.
| Country | Count | % of Total |
|---|---|---|
| United States | 151 | 17.7% |
| United Kingdom | 39 | 4.6% |
| India | 23 | 2.7% |
| Canada | 15 | 1.8% |
| Australia | 11 | 1.3% |
| Germany | 7 | 0.8% |
| United Arab Emirates | 7 | 0.8% |
| Netherlands | 7 | 0.8% |
| Nigeria | 5 | 0.6% |
| Kenya | 5 | 0.6% |
SEO & Domain Authority for Data Marketplaces
Pricing Data for Data Marketplaces
Market Saturation for Data Marketplaces
This score is computed from a combination of total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence.
Affiliate Programs in Data Marketplaces
45 Data Marketplaces SaaS companies offer affiliate programs (5.3% of total).
Most Recently Added Data Marketplaces SaaS
Median Age of Data Marketplaces SaaS Companies
The median Data Marketplaces SaaS company was founded 6.0 years ago (median founding year: 2020).
B2B / B2C Breakdown for Data Marketplaces16
Based on 843 companies with consumer type data (98.6% of total).
SaaS Discovery Trend for Data Marketplaces
Monthly SaaS discovery count for Data Marketplaces compared to its share of all SaaS discovered. A rising percentage indicates this segment is growing faster than the overall market.
About SaaS Browser
SaaS Browser is the largest, most up-to-date SaaS database on the internet, the ultimate prospecting and research tool for SaaS companies.
We discover emerging tools weeks after launch, before they appear in Apollo, ZoomInfo, or other databases. Our purpose-built platform exclusively tracks real software products with verified data, unlike generic prospecting tools polluted with agencies, consultancies, and outdated listings.
From Fortune 500 enterprises to bootstrapped startups launching this week, if it's SaaS, we track it.
How these numbers are calculated
- Total Software. The number of published SaaS companies currently listed for this selection. Only companies that pass our automated quality checks are counted.
- New (Past 30 Days). The net number of SaaS companies newly published for this selection in the last 30 days.
- Affiliate Programs. The number of listed SaaS companies that operate a verified affiliate or referral program.
- Median Age (Years). The median age, in years, of companies in this selection, based on founding year. The median is the middle value, so half are older and half younger.
- New (Past 365 Days). The number of SaaS companies published for this selection over the last 365 days.
- Churned (Past Year). Companies published within the last year that are no longer listed - they went offline, were removed, or stopped passing our quality checks.
- Annual Churn Rate. The annual churn rate - churned companies as a percentage of all companies published in the last year (still-listed plus churned).
- Free Trial. The percentage of listed companies in this selection that offer a free trial.
- Company Size Distribution. Distribution of companies by employee count: solo (1), small (2–50), mid (51–200), large (201–1,000), enterprise (1,000+). Percentages are of companies with employee data.
- Median Domain Rating. The median domain rating (0–100) across listed companies, our measure of link authority. Higher is stronger. Shown against the overall median across all SaaS for comparison.
- Median Starting Price (USD). The median entry-level monthly price (USD) across companies in this selection with pricing data.
- Median High Price (USD). The median premium monthly price (USD) across companies in this selection with pricing data.
- Saturation Score. A 0–100 market saturation score combining total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence. Higher means more competitive.
- Median Commission. The median affiliate commission rate offered by companies in this selection that run an affiliate program.
- B2B / B2C Breakdown. Breakdown of companies by target market - business (B2B), consumer (B2C), or both - among those with consumer-type data.
