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Databricks@HackerOne

HackerOne Extends Delta Lake Across Real-time Operations

HackerOne, an information technology organization in the United States, uses Delta Lake 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 complianceDelta Lake is the governed place platform engineers use for real-time operations

Story

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

HackerOne 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 HackerOne 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

HackerOne uses Databricks, CrowdStrike, Google Cloud, Cartesia, Zscaler, SAS. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Information Technology. Value: Productivity, Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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