# Stories

> Who uses what: 50 public stories of how 16 named companies use 11 data, cloud and AI vendors, with renewals and migrations, each linked to its source.

Stories collects vendor case studies, customer engineering blogs, keynote talks, press releases, earnings calls and US federal contract records (USAspending.gov). Each story records the customer, the vendor, the products, a one-line use case, any outcome the source states, the relationship event (adopted, expanded, renewed, moved to, consolidated, moved away) and the source with its date. A run every Saturday at 10:00 UTC reads new pages from vendor customer-story sitemaps, new federal awards and a few news searches; new finds are marked Unverified until checked. Last successful run: none yet.

Disclaimer: From public case studies, filings and announcements. Vendors publish their own success stories; check the source. Logos via logo.dev; trademarks belong to their owners. Readers can suggest corrections on any page.

## Pages

- [Graph](https://stories.fru.dev/): customers and vendors, filterable (e.g. https://stories.fru.dev/?industry=healthcare)
- [Customers](https://stories.fru.dev/customers)
- [Vendors](https://stories.fru.dev/vendors)
- [Industries](https://stories.fru.dev/industries)
- [Renewals and losses](https://stories.fru.dev/renewals) (also renewals.fru.dev)
- [Migrations](https://stories.fru.dev/migrations)
- [Method](https://stories.fru.dev/method)
- [Adobe tech stack](https://stories.fru.dev/customers/adobe): MongoDB, AWS, Databricks
- [Albertsons Companies tech stack](https://stories.fru.dev/customers/albertsons): Google Cloud, MongoDB, Microsoft
- [AT&T tech stack](https://stories.fru.dev/customers/at-and-t): Snowflake, Microsoft, Databricks
- [Capital One tech stack](https://stories.fru.dev/customers/capital-one): Snowflake, AWS, Databricks
- [Comcast tech stack](https://stories.fru.dev/customers/comcast): Snowflake, AWS, Databricks
- [Condé Nast tech stack](https://stories.fru.dev/customers/conde-nast): Fivetran, MongoDB, Databricks
- [JetBlue tech stack](https://stories.fru.dev/customers/jetblue): Snowflake, dbt Labs, Fivetran, Databricks
- [Medtronic tech stack](https://stories.fru.dev/customers/medtronic): MongoDB, AWS, Snowflake
- [Nasdaq tech stack](https://stories.fru.dev/customers/nasdaq): dbt Labs, AWS, Databricks
- [National Football League tech stack](https://stories.fru.dev/customers/nfl): AWS, Microsoft
- [Pfizer tech stack](https://stories.fru.dev/customers/pfizer): Snowflake, Fivetran, AWS
- [Siemens tech stack](https://stories.fru.dev/customers/siemens): Snowflake, dbt Labs, Confluent
- [Toyota tech stack](https://stories.fru.dev/customers/toyota): MongoDB, Databricks
- [U.S. Citizenship and Immigration Services tech stack](https://stories.fru.dev/customers/uscis): Databricks, Confluent
- [U.S. Customs and Border Protection tech stack](https://stories.fru.dev/customers/us-customs-and-border-protection): Databricks, Confluent
- [Warner Bros. Discovery tech stack](https://stories.fru.dev/customers/warner-bros-discovery): MongoDB, Databricks, AWS
- [AWS customers](https://stories.fru.dev/vendors/aws): 8 named customers
- [Confluent customers](https://stories.fru.dev/vendors/confluent): 3 named customers
- [Databricks customers](https://stories.fru.dev/vendors/databricks): 11 named customers
- [dbt Labs customers](https://stories.fru.dev/vendors/dbt-labs): 3 named customers
- [Elastic customers](https://stories.fru.dev/vendors/elastic): 0 named customers
- [Fivetran customers](https://stories.fru.dev/vendors/fivetran): 3 named customers
- [Google Cloud customers](https://stories.fru.dev/vendors/google-cloud): 1 named customers
- [Microsoft customers](https://stories.fru.dev/vendors/microsoft): 3 named customers
- [MongoDB customers](https://stories.fru.dev/vendors/mongodb): 6 named customers
- [SAP customers](https://stories.fru.dev/vendors/sap): 0 named customers
- [Snowflake customers](https://stories.fru.dev/vendors/snowflake): 7 named customers

## Data

- [Sitemap](https://stories.fru.dev/sitemap.xml)
- [RSS of new stories](https://stories.fru.dev/rss.xml)
- [Full plain-text dump](https://stories.fru.dev/llms-full.txt): one line per story
- JSON: https://stories.fru.dev/api/graph (companies and edges), https://stories.fru.dev/api/page?path=/customers/<slug>