The combined Hadoop-NoSQL market will exceed $3 billion in revenues in 2017 predicts Wikibon’s “Hadoop-NoSQL Software and Services Forecast, 2013-2017”. What’s driving growth is a major shift away ...

When it comes to capturing and analyzing data, IT departments have more choices today than ever before. And choice is a good thing. However, in order to pick the right tool for the job, you need to ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Apache Hadoop analytics provider MapR Technologies has ...

While Hadoop, a platform for big data analytics, and NoSQL, a database technology for enterprise, web, mobile, and IoT applications, may seem different, they do complement each other. In a recent DBTA ...

Striking a strategic alliance, MapR Technologies Inc. and MongoDB Inc. bring their respective camps of the analytics movement closer together as growing enterprise adoption makes the need for ...

MapR-DB with Hadoop powers real-time, data-driven applications NEW YORK–(BUSINESS WIRE)–October 15, 2014– MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today ...

Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used ...

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Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

Cohesity also is expanding its data protection and management capabilities with native Kubernetes container and Microsoft OneDrive capabilities. Data protection software and appliance developer ...

diginomica is largely a business focused technology property. We are less concerned with the minutiae of the technology and lean more towards what it delivers. But in recent weeks, we've been spending ...

There is a lot of data out there, and much of it doesn’t need to be stored in heavyweight relational databases, with complex query languages. That is particularly true of modern cloud applications and ...