Story
Databricks
AB InBevAB InBev Adopts Databricks for Real-time Operations
AB InBev, a consumer staples organization in Belgium, uses Delta Lake from Databricks to support real-time operations for platform engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because event streams has a clear owner |
| Productivity | Handoffs in real-time operations sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how real-time operations actually runs |
Story
Inside AB InBev, real-time operations used to depend on whoever still had the latest file. That pattern is common in consumer staples groups working out of Belgium. Platform engineers needed a system that would still make sense after the original project team moved on.
AB InBev uses Delta Lake from Databricks as the working layer for event streams. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. The practical change is simple: real-time operations has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What AB InBev gets from Databricks is a durable place to run real-time operations and a way for platform engineers to see the same event streams at the same time.
