10 New Technologies in a Big Data World

These are heady times in the data management world. Organizations of all types are embracing AI and real-time capabilities as key to future growth, and data managers are leading the way in delivering. In this special report, BDQ canvassed a range of industry leaders and activists for their views on the cutting-edge technologies they see emerging. Read More

‘It’s A Trap!’ How IT Pros Can Avoid the Hidden Pitfalls of AI

Today's enterprises have adopted AI with one promise in mind: efficiency. In the mindset of most IT leaders, efficiency equals simpler workflows, easier data access, faster results, and lighter burdens for IT teams. Unfortunately, according to a recent IT trends study, 71% of IT professionals report AI is actually making their role more demanding. Although AI has proven its ability to fast-track individual tasks, attaching AI technology to legacy processes has revealed a trap hidden under that promised simplicity. Read More

‘Vibe Coding’ Meets Database Engineering: Cleaning Up AI-Generated SQL

"Vibe coding" is the latest term making the rounds in the world of application development. The basic idea is simple enough: Instead of painstakingly writing every line of code manually, developers describe what they want to an AI coding assistant, review what it produces, adjust, and keep going. Development becomes more conversational, iterative, and, at least theoretically, faster. Read More

Sponsored Content: The AI SDLC Is Here. Who Governs the Database Changes?

AI started by helping developers write code faster. Now it's beginning to participate across the software delivery lifecycle (SDLC). As the SDLC becomes increasingly agentic, AI can create changes, test and validate them, initiate deployments, observe what happens in production, and increasingly help remediate issues. The architecture of the SDLC doesn't disappear but the actors moving through it change, and the speed and volume of change increase dramatically. Read More

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Columnists

Database Elaborations

Todd Schraml

Language is Always Hard Words such as "taxonomy" and "ontology" are often thrown around by data architects as if these terms were interchangeable. Generically, the ideas of taxonomy and ontology are similar, but not synonymous.

DBA Corner

Craig S. Mullins

‘Vibe Coding’ Meets Database Engineering: Cleaning Up AI-Generated SQL "Vibe coding" is the latest term making the rounds in the world of application development. The basic idea is simple enough: Instead of painstakingly writing every line of code manually, developers describe what they want to an AI coding assistant, review what it produces, adjust, and keep going. Development becomes more conversational, iterative, and, at least theoretically, faster.

SQL Server Drill Down

Kevin Kline

‘It’s A Trap!’ How IT Pros Can Avoid the Hidden Pitfalls of AI Today's enterprises have adopted AI with one promise in mind: efficiency. In the mindset of most IT leaders, efficiency equals simpler workflows, easier data access, faster results, and lighter burdens for IT teams. Unfortunately, according to a recent IT trends study, 71% of IT professionals report AI is actually making their role more demanding. Although AI has proven its ability to fast-track individual tasks, attaching AI technology to legacy processes has revealed a trap hidden under that promised simplicity.

Emerging Technologies

Job Boards Are Not Database-Intelligent: Why the Future of Talent-Matching Requires a Smarter Architecture For more than 2 decades, job boards have been the default digital marketplace for talent. They promised efficiency, reach, and democratized access to opportunity. Yet in 2026, as organizations accelerate toward AI-driven workforce strategies, one truth has become impossible to ignore: Job boards are not database-intelligent. And that limitation is costing employers time, money, and competitive advantage.

Next-Gen Data Management

Will AI Become Our Friend or Foe? Technology Professionals Weigh In. Picture this: there's a new face in the IT department, ready to step in to help tackle the increasingly complex challenges caused by modern hybrid on-prem and multi-cloud environments. Overstretched technology teams always appreciate an extra set of helping hands, but what happens when this new team member isn't human—but artificial intelligence (AI)?