Over the past two decades companies in the financial services industry working with extremely large datasets have turned to Kx’s high-performance time-series database kdb+, with its built-in programming language called q, for high performance analytics. Some of these companies have in recent years also built applications in Apache Hadoop.
Find out about the key architectural differences between the Kx platform and the Hadoop Ecosystem in tackling large-scale, complex business analytics.
Since the company’s inception, KX’s singular goal has been to provide its customers with the fastest, most efficient, and most flexible tools for processing real-time and historical data to derive actional insights that drive critical business decisions. This focus has enabled us to become the worldwide leader of in-memory, time-series databases and streaming analytics.