Adopted · Vendor case study · Jul 2019 · Databricks Data + AI Platform, Unity Catalog, Databricks SQL
Unified consumer view and global reporting across 37 brands such as Vogue and GQ
Stated outcome: about $6 million lower annual infrastructure costs
Since adopting the Databricks Data + AI Platform, Condé Nast has harnessed the full potential of their data for analytics and AI while reducing annual infrastructure costs by approximately $6 million.
From Customer Story: Condé Nast | Databricks, databricks.com, Jul 2019.7 years agoChecked Sep 23, 2026 Condé Nast stack · Databricks customers
| What |
|---|
| UndatedMoved content recommendations from Elasticsearch pipelines to vector search on MongoDB Atlas |
| UndatedAutomated ingestion from 20+ sources into Databricks Delta Lake for audience segments |
| 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