XML’s adherents use many glowing adjectives to describe their favorite acronym, but fast isn’t usually one of them. Now a small company in Colorado Springs, Colo., hopes to make speed and XML synonymous.NeoCore’s XML Management System (XMS) provides a high-performance repository for corporate XML data (be it native or converted by various translation tools), allowing businesses to access their information in one location, rather than querying multiple applications. It may sound like middleware, but such products can suffer from performance problems. NeoCore accelerates the process with a technology called Digital Pattern Processing (DPP). Rather than doing sequential searches?a process that results in rapidly increasing search times as databases expand?DPP converts data into “icons” that describe the content in the database. XMS then compares icons?up to millions per second?to find a match.“[NeoCore] brings to XML data serving one thing that was needed for XML data serving to reach its potential: performance,” says Dirk Coburn, research director for Java and XML at Framingham, Mass.-based research company IDC (a sister company to CIO’s publisher, CXO Media). “It can’t be overstated how important that is.” For more information, visit www.neocore.com. Related content brandpost From edge to cloud: The critical role of hardware in AI applications The rise of generative artificial intelligence By Broadcom Jun 06, 2023 5 mins Machine Learning Artificial Intelligence brandpost The new value calculator: Levers for business optimization Squeezing maximum value out of your data is not only about cost-savings—it’s time to create significant potential by transforming your competitive position. By Sandrine Ghosh Jun 06, 2023 5 mins Data Management brandpost The new wave of data observability Innovative ‘applied observability’ can detect issues and diagnose their root causes swiftly and effectively. By Sandrine Ghosh Jun 06, 2023 4 mins Data Management brandpost Let Business Needs Guide Your Winning Data Team With skill shortages continuing, IT leaders must optimize their data science team investment. Start with your organization’s key objectives. By Paul Gillin Jun 06, 2023 3 mins Business Intelligence Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe