Story
Databricks
DemandbaseDemandbase Extends Delta Lake Across Real-time Operations
Demandbase, an information technology organization in the United States, uses Delta Lake from Databricks to support real-time operations for platform engineers.
Teams at Demandbase moved event streams onto Databricks after local tools started to collide.
“In the United States, platform engineers already knew where event streams went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because event streams has a clear owner |
| Risk and compliance | Delta Lake is the governed place platform engineers use for real-time operations |
| Capability | New joiners can see how real-time operations actually runs |
Story
Demandbase did not need another dashboard that nobody opened. It needed real-time operations to move. In the United States, platform engineers already knew where event streams went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Delta Lake from Databricks is now in that path. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. The company treats it as production tooling for real-time operations, which is why platform engineers live in it rather than exporting from it once a quarter.
Demandbase can show how event streams is handled today. That is the value: a repeatable way to run real-time operations on software the rest of the industry already recognizes.
