SAN CARLOS, CALIF. — MARCH 25, 2014 — MarkLogic Corporation today announced that growth in new markets including Japan and Europe, steady customer acquisition, strategic partner relationships and industry recognition, has further propelled the company into the leadership position within the NoSQL database market. MarkLogic finished its fiscal year 2014, which ended January 31, with record financial results and in addition, introduced its most full-featured enterprise platform to date, MarkLogic® 7.
The highlights from the year include:
“The company’s sustained momentum confirms the market’s confidence in our products as well as our commitment to customers and partners. Partnerships in EMEA and Asia Pacific are driving expansion into new markets across the globe,” said Gary Bloom, CEO of MarkLogic Corporation. “We’ve focused our resources developing MarkLogic 7, the most comprehensive enterprise NoSQL database platform on the market, which solidified our position as a leader. We continue to improve and enhance our platform with new enterprise features and search capabilities to further differentiate ourselves from the competition and provide customers with the industry’s best Enterprise NoSQL database platform for solving the most complex data integration challenges.”
In addition, the company engineered MarkLogic® Semantics into its database platform, which helps customers gain better insight from their data, and in turn allow them to deliver the most comprehensive, contextually-relevant information to users. The MarkLogic 7 platform has also been made available on the Amazon Web Services Marketplace – making it the industry’s only Enterprise NoSQL database that includes search and application services engineered to harness the benefits of AWS, at an affordable price.
“After we digitized and converted over 1 million pages of written word and chemical formulae into XML we realized we needed to get more out of the XML we’d been creating to expand and develop new products and services. It was obvious a relational database model would not fit our needs,” said David Leeming, strategic innovation group solutions manager at the Royal Society of Chemistry. “MarkLogic is more than just a NoSQL database, it has an extremely powerful search engine to enable logical associations between different types of content, helping us launch new online journals very quickly and grow our publishing output from 6,000 articles a year to over 30,000 a year today.”
MarkLogic received many industry accolades during the last year. The company was favorably positioned in Gartner’s “Magic Quadrant for Operational Database Management Systems,” published in October 2013. In addition, MarkLogic was the only enterprise NoSQL database vendor featured in the report that integrates search and application services. The company was also recognized in the April 2013 “Gartner Magic Quadrant for Enterprise Search,” – the only company to have the same product featured on both reports. Other accolades include the 2013 Computerworld Honors Laureate, by IDG’s Computerworld Honors Program. The annual award program honors visionary applications of information technology promoting positive social, economic, and educational change. Furthermore, MarkLogic was selected as one of the 2013 Red Herring 100 Global Winners – recognized as a leading global private company and an innovator in the technology industry.
Major companies across a variety of industries and around the globe are avidly adopting MarkLogic® Enterprise NoSQL database platform, including BBC, Dow Jones, McGraw-Hill Financial, Press Association, Federal Aviation Administration (FAA), Centers for Medicaid and Medicare (CMS), National Archives and Records Administration (NARA), U.S. Department of Agriculture (USDA) and six of the top ten global banks rely on MarkLogic for transactional operations.
The MarkLogic semantic data platform gives Global 2000 and public sector organizations a faster, trusted way to unlock value from complex data and achieve data agility. The unified platform lets organizations securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data across the enterprise.