“A straight move to the cloud would have cost two to four times more, so we would never have done it. The design with Databricks came out cheaper, and now we get the AI capabilities on top.” - Michael Kelm, Cloud Data Platform Lead, Siemens Healthineers
Siemens Healthineers collects roughly 100 TB of Magnetic Resonance Imaging (MRI) scanner data every month to support service, stability and compliance. After two decades, its on-premises platform was becoming harder and more expensive to scale, while sharing historical data across teams could take weeks or months.
The company rebuilt its XMART platform on Databricks with Delta Lake and Unity Catalog, moving beyond lift-and-shift to a governed data-product architecture. The result: lower costs, permission-based sharing instead of repeated data copies, and a foundation for self-service analytics with Genie One.
Key highlights:
- Around 50% lower data platform costs than the previous on-premises setup.
- 100 TB of MRI data processed monthly on Databricks.
- Weeks to near-instant historical access through governed permission grants rather than exports and transfers.
- 80% and 90% cost reductions achieved through targeted optimization of two data products.
- A path to self-service analytics for 1,000+ users, with Siemens Healthineers preparing to extend access through Genie One.
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