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Databricks@KeyCorp

KeyCorp Standardizes Event Streams on Databricks

KeyCorp, a financials organization in the United States, uses Unity Catalog from Databricks to support real-time operations for platform engineers.

Value results

CategoryValue result
ProductivityFewer stalled items because event streams has a clear owner
ProductivityHandoffs in real-time operations sit in a shared queue instead of a mailbox trail
Risk and complianceUnity Catalog is the governed place platform engineers use for real-time operations

Story

KeyCorp is based in the United States and runs financials operations at a scale where event streams cannot live in side channels. Platform engineers were reconciling competing copies of the same work, which slowed real-time operations and hid who owned the next step.

The company runs real-time operations on Databricks, with Unity Catalog as the product platform engineers actually open. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. For KeyCorp, that means platform engineers can open one workflow, see event streams, and let neighboring teams join without inventing a parallel stack.

Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for event streams.

Relationship map

KeyCorp uses Databricks, PayPal, Appian, Coupa, Anaplan, Fiserv, Cisco, ServiceNow, Temenos, MongoDB, PagerDuty, SS&C. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Financials. Value: Productivity, Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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