Record–Setting Storage Performance—Without Breaking the Bank

Financial services organizations have long been at the forefront of adopting leading-edge information technology. Massive data volumes, low-latency, and complex analysis are common attributes of high frequency trading and advanced analytics environments including fraud prevention, risk management, market simulations and more. There is a constant battle between researchers, scientists, and traders because more complex models will be more insightful and better predictors of business outcomes. The need to collect, store, and analyze vast amounts of real-time and historical data requires a revolutionary approach to storage.