In the predictions game, it's time for us to bat clean-up once more. Following Big on Data bro Andrew Brust's roundup of AI-related predictions from a cross section of industry executives, now it's ...

Mention the word “database,” and most people think of the venerable RDBMS that has dominated the landscape for more than 30 years. That, however, may soon change. A whole crop of new contenders are ...

There is a typical story cycle in IT: Every new technology destroys and replaces an older one. PCs displaced mini-computers. Smartphones unseated cameras and flip phones. Online streaming wipes out ...

Part 4 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data database system space. The total volume of data created or replicated globally reached 64.2 ...

Organizations that are expanding their traditional infrastructure in the face of big data challenges should consider assembling a big data stack architecture using purpose-built software products and ...

It's been amusing to watch the NoSQL movement transition from a "We don't need no stinking SQL" attitude to a "Can I please have some SQL with that?" philosophy. The nonrelational databases that ...

MongoDB's document-based database structure is better suited for the demands of the AI and big data era, offering flexibility and scalability at a lower cost. The global database market is projected ...

It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

As the default database for Hadoop, you'd expect HBase to be more popular than it is, but its time may already have passed A few years ago, HBase looked set to become one of the dominant databases in ...

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Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space. Running The Bases By 2025 the total amount of digital data generated, gathered, ...