Gartner has recognized MarkLogic as a Visionary in the Magic Quadrant for Cloud Database Management Systems. Our VP of Strategy Chuck Hollis explains what being a “visionary” means – to us and our customers.
In this third post of the series, we examine modeling for a mixed document/semantic database and demonstrate how to use UML modeling with MarkLogic's Data Hub Framework.
MarkLogic helps agency decision-makers connect to their IT data quickly, make better decisions, become more agile, and solve their most difficult cyber challenges.
MarkLogic 11 introduces support for GraphQL queries that run against views in your MarkLogic database. Customers interested in or already using GraphQL can now securely query MarkLogic via this increasingly popular query language.
MarkLogic has been at the forefront of solving complex data challenges for over 20 years. The industry recognizes us as a leader, offering significant capabilities to help solve the world’s most critical and complex data challenges. I’m proud to share that this pioneering spirit will continue as we become part of Progress. About the Progress […]
We're all drowning in data. Keeping up with our data - and our understanding of it - requires using tools in new ways to unify data, metadata, and meaning.
Successfully responding to changes in the business landscape requires data agility. Learn what visionary organizations have done, and how you can start your journey.
This not-too-technical article covers a number of questions about MarkLogic Server and its use of memory. Learn more about how MarkLogic uses memory, why you might need more memory, when you need more memory, and how you can add more memory.
A knowledge graph – a metadata structure sitting on a machine somewhere – has very interesting potential, but can’t do very much by itself. How do we put it to work?
