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Databricks@Phoenix Contact

Phoenix Contact Brings Event Streams onto Databricks

Phoenix Contact, an industrials organization in Germany, uses Mosaic AI from Databricks to support real-time operations for platform engineers.

Value results

CategoryValue result
ProductivityFewer stalled items because event streams has a clear owner
Risk and complianceMosaic AI is the governed place platform engineers use for real-time operations
CapabilityNew joiners can see how real-time operations actually runs

Story

Inside Phoenix Contact, real-time operations used to depend on whoever still had the latest file. That pattern is common in industrials groups working out of Germany. Platform engineers needed a system that would still make sense after the original project team moved on.

Phoenix Contact uses Mosaic AI 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 Phoenix Contact 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.

Relationship map

Phoenix Contact uses Databricks, Infor, PagerDuty, Salesforce, UiPath. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Industrials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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