Pure Storage Data Hub for Modern Analytics


Customer:

Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based on creating and executing computer models to make investment decisions. The firm has adopted the Pure data hub to deliver the massive storage throughput and scalability required to meet its most demanding simulation applications.

Challenges:

  • Storage capacity was doubling every 18 months.
  • Legacy storage architecture was not adequately supporting developers and quantitative researchers.
  • Simulations required greater IOPS and bandwidth than legacy storage could provide.
  • The business was unable to fully leverage new technologies such as Spark and AI.

Use Case:

  • Applications – Bespoke quantitative trading strategies; application development using Python, Java and Apache Spark®
  • Database – In-house development backed by Mongo®

Business Transformation:

  • Quantitative researchers can run more simulations faster, accelerating time-to-market for new investment models and raising the probability of improved returns for investors.

T Transformation:

  • Up to 600,000 IOPS and 6GBs bandwidth provide more than sufficient processing power for the most demanding simulations.
  • Quantitative researchers benefit from 10x-20x processing improvement.
  • Highly scalable Pure FlashBlade™ architecture provides an on-demand path for future growth in capacity.
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“A 10x-20x improvement in performance can be a gamechanger when it comes to creating a time-to-market competitive advantage for us.”
Gary Collier, Co-CTO, Man AHL

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