Real-time financial service and banking applications need extreme scale computing that can scale from tens of terabytes to petabyte volumes. For these applications, speed is of the essence. A delay of even a few milliseconds can result in a fraudulent transaction or an unacceptable risk exposure position.
In-memory databases are instrumental to delivering an instant response; by holding the entire dataset in system memory, real-time apps avoid delays due to reads and writes to storage, improving responsiveness. But as datasets continue to grow larger, the cost of equipping servers with sufficient DRAM to hold that data in memory can become prohibitive. So how do you get there?
Join Aerospike and a select group of industry thought leaders as we discuss digital payment trends using real time decisioning to minimize risk, protect against fraud and architecture design systems for large workloads using large datasets.
Srini V Srinivasan is a Founder and Chief Product Officer at Aerospike. When it comes to… Find out more
Parviz Peiravi is a Global CTO for Financial Services Industry Solutions with Intel Corporation responsible for… Find out more