Adopted · Vendor case study · May 2025 · Databricks Data + AI Platform
Unifies financial, sales, product, customer and employee data for 92+ internal teams
Stated outcome: 20% faster performance
Databricks equips over 92 teams at Adobe to unify their data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe’s digital platforms with AI.
From Adobe Brings Creativity to Life | Databricks, databricks.com, May 2025.1 year agoChecked Sep 23, 2026 Adobe stack · Databricks customers
AWSInfrastructure for training the Firefly family of generative AI modelsaws.amazon.comStory →| What |
|---|
| Mar 2026Chose NVIDIA computing and libraries to build the next generation of Firefly models |
| UndatedInfrastructure for training the Firefly family of generative AI modelsAWSAdoptedaws.amazon.com |
| UndatedAll-in-one data layer behind embedded AI features such as chatting with PDFs in Acrobat |
| What |
|---|
| Oct 2026Sharing governed construction data tables with customers for hourly analytics refreshesunverified |
| Oct 2026Test code changes and AI coding agents on Postgres branches of production data for pull requestsunverified HamletAdopteddatabricks.com |
| Oct 2026Configure governed data models and publish attributes to build audiencesunverified |
| Oct 2026Build audiences in natural language using trusted customer dataunverified |
| Sep 2026Databricks platform as a service subscription |
| Sep 2026BPA call order for the procurement of Databricks professional services. all terms and conditions from the BPA |
Storiesby Glyph