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Databricks@S&P Global

How S&P Global Runs Real-time Operations on Unity Catalog

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

Value results

CategoryValue result
CapabilityNamed workflow replaces ad hoc routing for event streams
CapabilityReal-time operations stays visible to adjacent teams through Unity Catalog
CapabilityPlatform engineers work from the same Unity Catalog record for event streams

Story

S&P Global 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 S&P Global, 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

S&P Global uses Databricks, MongoDB, Fiserv, Temenos, Anaplan. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Financials. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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