This US-based company is “disrupting” (just seeing if your buzzword meter is on) the financial industry by automating end-to-end credit and lending across the US, UK and Brazil.
Problem
Saw the lights flickering on the storage array industry and wanted to go in a different direction. Because they want to drive fast analytics to achieve fully agentless credit ratings and loan offers, the company was looking for a scale-out approach and to run on commodity servers to improve overall company margin when competing against the largest lenders on the planet—Wall Street banks. They also wanted the same “as a service” experience as the public cloud, but at a fraction of the pricing they were getting charged by AWS.
Back Story
Evaluated another self-proclaimed software-defined storage (SDS) vendor that lacked the ability to move them away from the proprietary stack model, and saw right through the shortcomings of an array-approach. They selected Datera on HPE server nodes which gave them a 50% cut in CapEx and a similar reduction in OpEx because Datera’s private cloud deployment model enables different classes of service within a common cluster comprised of NVMe, SATA Flash, and hybrid nodes.
New Datera Story
- Size: 1 petabyte on 15 server nodes with mixed media including NVMe, SATA Flash, and hybrid for the initial implementation.
- Performance: 2.5X the performance of the old approach, also known as 150% improvement.
- Automation: Using application templates to automate service levels for multiple apps and tenants, lowering maintenance and thus operating resources that can be deployed to their expanding geographic presence.
- Network: 100GB Ethernet using Mellanox M-Series Fabric available from HPE. No. More. Fiber.
This is part of our customer blog series Case Study Consternation, Calamity, and Conquest.