SAN CARLOS, Calif. — November 1, 2011 — MarkLogic Corporation, the company empowering organizations to make high stakes decisions on Big Data in real time, today announced MarkLogic 5, the latest version of its award-winning product designed for Big Data applications across the enterprise. MarkLogic 5 defines Big Data by empowering organizations to build Big Data applications that make information actionable. With MarkLogic 5, organizations get smarter answers faster by analyzing structured, unstructured, and semi-structured data in the same application. This allows a complete view of the health of the enterprise. Key features include the MarkLogic Connector for Hadoop, which marries large-scale batch processing with the real time Big Data applications MarkLogic has been delivering for a decade. MarkLogic 5 is a visionary step forward for organizations who want to manage complex Big Data on an operational database with confidence at scale. MarkLogic 5 is available today.
“Most of the hype around Big Data has focused only on the big or on the analytics,” said Ken Bado, president and CEO, MarkLogic. “For nearly a decade, MarkLogic has been helping its customers build cost effective Big Data applications that create competitive advantage. That means going beyond big and analytics to make information actionable so organizations can create real value for their business. With MarkLogic, multi-billion dollar companies like JP Morgan Chase and LexisNexis have redefined their business models, while organizations like the U.S. Army and the FAA have the real time, mission-critical information they need to get the job done. These aren’t science projects – they’re real organizations using Big Data applications right now.”
“We believe that MarkLogic 5 is well positioned to help solve many of the Big Data challenges that are emerging in the healthcare industry today,” said Jeff Cunningham, CTO at Informatics Corporation of America. “By incorporating MarkLogic 5 into our CareAlign™ Health Information Exchange platform, we have the ability to securely aggregate, manage, share, and analyze large amounts of patient information derived from a wide variety of sources and formats. These capabilities will help doctors, hospitals, and healthcare systems across the country solve many of the care coordination and population health management challenges that exist in healthcare today.”
“MarkLogic is an enterprise-class database management system, with strong scale-out, optimized for poly-structured databases rather than simply-structured relational ones,” said Curt Monash, president of Monash Research and editor of DBMS 2. “For serious applications that don’t fit well with the relational model, MarkLogic is often the best way to go.”
The MarkLogic Connector for Hadoop powers large-scale batch processing for Big Data Analytics on the structured, semi-structured, and unstructured data residing inside MarkLogic. Using MarkLogic for real time analytics with Hadoop for batch processing brings the best of Big Data to companies that need real time, secure, enterprise applications that are cost effective with high performance. With simple drop-in installation, organizations can run MapReduce on data inside MarkLogic and take advantage of Hadoop’s development and management tools, all while being able to leverage MarkLogic’s indexes and distributed architecture for performance. This combination results in enhanced search, analytics, and delivery in MarkLogic, and enables organizations to progressively enhance data without having to remove it from the database.
“Big Data is a significant trend, but most of the discussion about the issues and challenges with Big Data is missing the mark,” said Matt Aslett, senior analyst, enterprise software, the 451 Group. “We believe the most significant driver of Big Data is the value of the data, not the size. Organizations need to generate value from data whatever its volume, variety, or velocity. With new features like the MarkLogic Connector for Hadoop and enhanced rich media support, MarkLogic 5 continues to provide its customers with additional tools to unlock the value of their data for better business decisions.”
MarkLogic 5 enables applications that solve the challenges associated with Big Data. These applications can manage the complexity of information and fulfills enterprise Big Data requirements with high performance at scale:
Manage Complexity – MarkLogic 5 will help organizations manage the complex unstructured information driving the Big Data movement. Features include:
Confidence at Scale – MarkLogic 5 brings confidence to organizations that require a Big Data solution that can meet today’s standards of scale and reliability. Enhanced features include:
Enterprise Big Data – With MarkLogic 5, organizations get even more enterprise-grade features to tackle Big Data challenges. Those features include:
“The majority of today’s data is complex or unstructured, and organizations that are able to bring it together to make valid decisions in real time will outperform their peers by as much as 20%.* That means those that fail to adapt will fall behind financially to competitors or, in the case of government, will fail to meet the mission,” said Donald Feinberg, vice president and distinguished analyst, Gartner. “The companies that successfully manage Big Data will be able to address the disparate types of information across multiple sources, and will be empowered to make real time, valid decisions.”
To learn more about MarkLogic 5, please visit the MarkLogic 5 web page. In addition to MarkLogic 5, MarkLogic today announced improvements to the MarkLogic Developer Community and MarkLogic Express, a new developer license. Details can be found on the MarkLogic Developer Web Page.
*Gartner, Brazil Symposium/ITxpo: Information Management Goes ‘Extreme’: The Biggest Challenges for 21st-Century CIOs, Donald Feinberg, October 2011
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.
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