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Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

January 20, 2020
Learn how the multi-model MarkLogic platform compares to other technologies, and why it’s the best solution for complex data integration.
January 20, 2020
Data modeling works differently in MarkLogic than in relational. Learn how you can reduce your modeling and ETL efforts to deliver better results -- even when you still want SQL views of your data.
January 20, 2020
There are some important differences between SQL and MarkLogic. Here's what to expect -- and what you no longer have to worry about!
Wondering which type of data hub is best for you? Our EVP of Products provides a checklist – and explains the power of “operational” in the MarkLogic Operational Data Hub.
There was a time when using NoSQL was a risk to your business. Now it is a risk not to use NoSQL. But not all NoSQL is equal!
With Oracle you would need a database, search engine, and triple store in order to replicate the capabilities you get with MarkLogic’s single unified system. With MarkLogic, you get a unified, multi-model database for modern, transactional, enterprise-grade applications.
Gone are the days of single app databases. As MarkLogic product manager Justin Makeig says, "Applications are ephemeral—data is forever."
The murky landscape of NoSQL is starting to clear -- and the emergent victors are those that handle multiple models natively regardless of the number of data silos. Oracle's base is showing stress fractures as MarkLogic is becoming the platform for those with complex data integration problems.
In a recent blog post titled, “Faceted Search with mongoDB” users are guided through the process of creating a simple faceted search application for a bookstore catalogue. Rudimentary functionality is specified and restrictive assumptions are made to compensate for mongoDB’s deficiencies. These deficiencies have a measurable negative impact when developing applications in the context of […]
Came across this article in my Google* alerts today: “XML Found To Be Just As Fast As JSON” which describes a paper written by one of my colleagues here at MarkLogic, David Lee — a paper which “documents an experiment where he pit XML against JSON in almost 1,200 tests covering 33 different documents across […]
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