Data and AI vendors on cloud marketplaces
Which data and AI vendors sell on which cloud and data marketplaces, each listing linked to the listing itself. 1,069 listings from 262 vendors so far, +620 in the last 30 days, found by a daily run.
Latest changes
All changes7 listings removedOct 6yesterday
Datastream, I B E S Global Aggregates, I B E S Company Guidance, Quantitative Analytics Database, Quantitative Analytics Research Accelerator, Financials, ESG Scores and Raw Data Ftse Green Revenues EU Taxonomy and Climate Data
New vendorOct 6yesterday
Found selling on aws; matched to the companies.fru.dev registry by name
New vendorOct 6yesterday
Found selling on aws; matched to the companies.fru.dev registry by name
New vendorOct 6yesterday
Found selling on aws; matched to the companies.fru.dev registry by name
New vendorOct 6yesterday
Found selling on aws; matched to the companies.fru.dev registry by name
New vendorOct 6yesterday
Found selling on snowflake; matched to the companies.fru.dev registry by name
New vendorOct 6yesterday
Found selling on snowflake; matched to the companies.fru.dev registry by name
New vendorOct 6yesterday
Found selling on databricks; matched to the companies.fru.dev registry by name
58 new listingsOct 6yesterday
North, FactSet, Freshworks, HCLTech, Kyndryl, Trellix, SoftServe, 1Password, Accenture, Anthropic, Check Point, Clear, Cloudera, Cognizant, Contentsquare, Darktrace, Elastic, Experian, Fortinet, Genpact, Informatica, Infosys, John Snow Labs, KnowBe4, monday.com, MongoDB, Mozilla Data Collective, NetApp, Nvidia, Palo Alto Networks, Quantiphi, Red Hat, Snowflake, Sonatype, Tenable, Teradata, Tredence
New vendorSep 289 days ago
Found selling on aws; matched to the companies.fru.dev registry by name
New vendorSep 289 days ago
Found selling on aws; matched to the companies.fru.dev registry by name
New vendorSep 289 days ago
Found selling on aws; matched to the companies.fru.dev registry by name
Which vendor lists where
First 20 of 262 vendors, most marketplaces first
A check mark links to the listing; a dot means none found yet. Click a marketplace to put its vendors first.
Marketplaces
Fees and terms| Marketplace | Listings | ||
|---|---|---|---|
| 168+75 new this month | 73 | 43,328 | |
| 365+141 new this month | 115 | 110,494 | |
| 6 | 6 | - | |
| 345+286 new this month | 123 | 4,251 | |
| 156+115 new this month | 61 | 2,119 | |
| 1 | 1 | - | |
| 3 | 3 | - | |
| 5 | 5 | - | |
| 16 | 16 | - | |
| 0 | 0 | - | |
| 4+3 new this month | 3 | 351 | |
| 0 | 0 | - | |
| 0 | 0 | - |
Questions
What does it cost a vendor to sell on AWS, Microsoft or Google Cloud marketplaces?
By the marketplaces' own published schedules: AWS Marketplace charges 3% on SaaS and data public offers and 20% on server products (machine images, containers, machine learning), with private offers at 3% under $1M, 2% from $1M and 1.5% from $10M. Microsoft Marketplace charges a 3% store service fee. Google Cloud Marketplace keeps 3% on standard offers, with the same kind of tiers for large private offers. For Snowflake, Databricks, AppExchange and Oracle no seller fee was found on a public page. Each marketplace page links the schedule it comes from.
What is a private offer?
A private offer is a price and terms negotiated between a vendor and one buyer, then accepted and billed through the marketplace. Each marketplace page says whether private offers are supported, with the source.
Which data and AI vendors are on which marketplaces?
The presence matrix on the home page shows it at a glance: one row per vendor, one column per marketplace, a check mark where the vendor has an official listing. Every check mark links to the listing itself; an empty cell means no official listing was found on the date shown.
Why are Snowflake and Databricks both vendors and marketplaces?
Both sell on the cloud marketplaces (AWS, Microsoft, Google Cloud) and both run their own marketplace, where other vendors publish data products, native apps and models. This site tracks both sides.
Where does the data come from, and how fresh is it?
Only from the marketplaces' own catalogs, sitemaps, pages and public APIs: every listing links to the listing page it was read from, and every fee links to the marketplace's documentation. A discovery run every day adds vendors and listings as the marketplaces publish them, and once a month every listing page is read again; a listing that disappears or changes its pricing model is recorded as a dated change, never overwritten.
How does the list grow?
Every company in the companies.fru.dev registry is a candidate. Each day the site reads the public catalogs of Databricks Marketplace, Snowflake Marketplace, Microsoft Marketplace, AWS Marketplace and IBM Cloud, checks a rotating slice of companies on Hugging Face and on their own home pages, and adds any listing sold by a matching company. Vendors matched by name start as Unverified. Marketplaces it finds linked from vendor pages are listed as candidates for review.
Something is wrong or missing. How do I fix it?
Every vendor and marketplace page has Suggest a correction, and the listing pages have Suggest a missing listing. Each suggestion is checked against the marketplace page before anything changes.