Adopted · Vendor case study · Mar 2026 · Photon, Delta Lake
Centralized Feature Hub for credit line increase models and daily decisioning
Stated outcome: 60x faster jobs; 80% lower time and cost per job
To overcome these constraints, Capital One’s data and engineering teams built a centralized Feature Hub on Databricks.
From Transforming data pipelines to power faster credit decisions | Databricks, databricks.com, Mar 2026.7 months agoChecked Sep 23, 2026 Capital One stack · Databricks customers
| What |
|---|
UndatedClosed its last data centers, moved everything to AWS and defaults to serverless compute AWSMoved tofrom on-premises data centersaws.amazon.com |
| UndatedData engineering and data science platform for training ML models behind digital products like Eno |
| 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