Case Study: Onpoint Health Data achieves 10–15x faster data processing and accelerated time-to-insight with Pure Storage

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Preview of the Onpoint Health Data Case Study

Onpoint Health Data Accelerates Time To Insight Using Pure Storage

Onpoint Health Data is a Portland, Maine–based non-profit that builds and manages all‑payer claims databases for state and private clients, storing about 110 TB of healthcare data and growing roughly 30% annually. Heavy, read/write batch processing in its Claims Data Manager platform was outpacing legacy storage performance, creating bottlenecks that slowed analytics, prolonged batch jobs, and put client SLAs and new‑client onboarding timelines at risk.

Onpoint deployed a Pure Storage FlashArray//M50 (backed by Pure’s Evergreen program) and immediately saw dramatic gains: 10–15x faster batch processing, sustained IOPS above 100,000, and MPI jobs that moved from days to hours. The change improved SLA compliance and time‑to‑insight, sped new‑client onboarding, shrank storage footprint to 8U, achieved 2.8:1 data reduction, and reduced ongoing management overhead.


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Onpoint Health Data

Jeff Stoddard

Chief Information Officer


Pure Storage

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