Share This
In this special guest feature Mike Azevedo, CEO of Clustrix, discusses how significant spikes in simultaneous transaction processing are placing more demands on relational databases than ever. Mike is CEO of Clustrix, provider of the scale-out relational database designed to meet the needs of large, fast-growing e-commerce sites and other big Web- and cloud-based applications. He has more than 25 years of experience in scale-out analytic applications, grid computing, storage infrastructure, security, and retail, and has led top sales divisions at Platform Computing, ParAccel and PostX Corporation. Mike holds a Bachelor of Science degree in business administration/management from Chico State University
Relational databases always have been at the heart of online transaction processing (OLTP), and they will continue to be for the foreseeable future. But today the business world is demanding more out of this bedrock technology than ever. A variety of industries are experiencing massive increases in the amount of data that needs to be processed quickly and orderly, such as large-scale e-commerce sites juggling thousands of shoppers simultaneously generating cart activity. Or think of adtech companies that place millions of contextual ads in front of consumers each day. In these cases, databases are under pressure to handle high volumes and speeds without compromising a customer’s or end user’s experience. Fault tolerance and fast response times are critical. Today’s user who spends an inordinate amount of time on their mobile device is becoming more demanding than ever in terms of response time (i.e., latency) expectations. In many cases, a slow response is the same as none to someone accessing a site on their smartphone or tablet.
Click here to read the full article on Inside-BigData!