WEKA for Financial Analytics Improves Wall Clock Time
Companies are now applying predictive models for deeper insights and risk mitigation, and success is measured by the fast execution of algorithmic and deep learning model results. WEKA is used by leading quantitative trading companies who are constantly seeking out new advanced technologies to gain a competitive advantage and improve trading outcomes. Financial analytics requires a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at petascale. WEKA has demonstrated record-breaking performance on STAC M3 benchmarks using kdb+ time-series database.
Weka offers kdb+ a combination of good read performance and metadata operational latency, being one or two orders of magnitude better than EFS storage gateways and all open-source products we testedGlenn Wright, Systems Architect, Kx Read More