DBTA E-EDITION
June 2026
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Trends and Applications
What technologies for the data-driven era are emerging now? As you might guess, much of the activity seen across the market is connected to AI. At the same time, there is a critical data element that needs both to support AI implementations, as well as be supported by AI. DBTA queried industry leaders to get their views on the most compelling technologies now emerging in this data-driven era.
AI is washing over organizations and their data environments, putting pressure on data managers to be able to pull data, almost instantaneously, to fuel AI agents and applications. To meet this need, they are increasingly shifting their emphasis and resources to support the development of robust semantic layers—which serve as interfaces that convert and interpret raw data with technical designations into information that can be employed by business users or analytical tools.
Are data infrastructures ready to deliver insights at the speed of thought—or, for that matter, at the speed of an AI prompt? For decades, batch processing was the mode of data delivery—and organizations built their analytical environments in which information was several hours, or maybe a day, old. Then, as the digital economy evolved, certain parts of the data infrastructure moved to near real time, meaning results to queries were delivered within a half-hour to several hours.
Columns - DBA Corner
In many environments, there is a quiet compromise that gets made every day. It rarely shows up in project plans or architecture diagrams. No one formally approves it. But it happens, nonetheless. "Good enough" SQL gets promoted to production.
Columns - SQL Server Drill Down
According to recent data from the SolarWinds "State of Monitoring and Observability Report," 51% of IT pros believe database performance would benefit from better observability. Oftentimes, database observability suffers because teams have multiple, disparate observability and monitoring tools. This tool sprawl creates blind spots that make it harder to identify and react to database performance issues.
Columns - Emerging Technologies
As part of my On Assignment LinkedIn article series, I've continued to explore what candidates rarely see: the inner workings of recruitment databases and how recruiters actually use them in real time. This assignment took me deeper into a critical but often overlooked part of the hiring ecosystem: how resumes are categorized, stored, and retrieved and how small details can dramatically impact whether a candidate is ever seen.
MV Community
Insurance agencies are struggling with their dashboards, but Entrinsik Informer can provide the layer of observability teams need. In a recent blog post by Scott Allen, Entrinsik showcases Informer's ability to surface insights. Dashboards have become central to how insurance agencies track performance. They promise visibility, control, and faster decision-making, and in many ways, they deliver on that promise. However, many agencies are beginning to recognize that most dashboards show data, not direction, Allen writes.
To help bring new resources and innovation to light, each year, Database Trends and Applications magazine showcases the DBTA 100—a list of forward-thinking companies seeking to expand what's possible with data for their customers. As AI ripples through industries, several top MultiValue companies prove their staying power as they continue to land on the list again this year, including Kore Technologies, Revelation Software, and Rocket Software.
For years, MultiValue technology occupied an unusual place in the industry. Companies that depend on it often loved it because it allowed small teams to build highly adaptive business systems with remarkable speed, wrote Jay LaBonte, founder and chairman, MultiValue World Foundation, and president, Paradigm Systems, in a recent post.