SAN CARLOS, CALIF. — December 9, 2014 — MarkLogic Corporation, the leading Enterprise NoSQL database platform provider, today announced it has appointed Greg J. Santora to the Company’s Board of Directors. Mr. Santora was appointed to the Board on November 7, 2014 and is serving as Chairman of the Audit Committee.
“Greg brings with him a wealth of knowledge in finance and operations. His public company experience will help guide us as we continue to scale our business to meet our rapid growth and the strong market demand for our next-generation database technology,” said Gary Bloom, chief executive officer and president, MarkLogic. “Looking ahead, as an IPO is the most likely path for the company, we are establishing a board that reflects our future.”
Mr. Santora brings to the Board over 30 years of senior leadership experience from the technology sector. He has served as chief financial officer at Shopping.com where he oversaw its transition from a private company to a successful IPO. Prior to that, he was senior vice president and chief financial officer for Intuit, Inc. Previously, Mr. Santora spent nearly 13 years at Apple Computer in various senior financial positions including senior finance director of Apple Americas and senior director of Internal Consulting and Audit. He currently serves on the board of directors of Align Technology (ALGN), RetailMeNot (SALE) and Savo Group.
“MarkLogic is solving some of the most complex heterogeneous data integration challenges in the history of IT,” said Santora. “The team has impressively spent over 12 years integrating enterprise capabilities and security features into its database platform, setting the company apart from the competition while positioning itself as the most mature NoSQL database platform on the market today. I am excited and honored to have this opportunity to be a part of the company that is defining the next-generation database market.”
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.