SAN CARLOS, Calif. – December 4, 2008 – MarkLogic Corporation, a leading provider of infrastructure software for information applications, today announced that it has been named to EContent magazine’s 2008 EContent 100 list of companies that matter most in the digital content industry for the fourth consecutive year.
“Organizations of all kinds need to maximize their content assets as an essential resource in order to succeed in today’s challenging business climate,” said Michelle Manafy, editor-in-chief for EContent magazine. “By empowering its customers to build dynamic XML-based applications that provide users with the right content in the proper context, MarkLogic is one of the important technology innovators in the information industry.”
The 2008 EContent 100 was compiled by 14 judges with expertise in aspects of the digital content industry. The list represents the best and brightest digital content companies that provide valuable offerings for organizations seeking solutions across 12 categories including content creation, content delivery, content management, mobile content, collaboration and search, among others.
“We’re thrilled to have been selected for the fourth year in a row by EContent magazine as one of the 100 companies that matter most,” said Tracy Eiler, vice president of marketing for MarkLogic Corporation. “By vastly expanding our market leadership with the release of MarkLogic Server 4.0, being named the fourth fastest growing Silicon Valley software company by Deloitte’s Technology Fast 50 Program, and our continued success with customers, 2008 is proving to be a banner year for MarkLogic.”
More information on the 2008 winners of the EContent 100 awards can be found in the December print issue of EContent magazine and online at www.econtentmag.com. In addition, the winners will be honored at the Buying & Selling eContent 2009 conference being held April 5-7, 2009 in Scottsdale, Ariz.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.