Following the explosive growth of AI initiatives at all levels of various organizations last year, tech leaders have pinpointed digital trust as a crucial challenge in software development for 2025, according to the sixth annual "Reveal Survey Report: Top Software Development Challenges for 2025" survey from Infragistics. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers.
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DataOps, an adaptation of what's traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and value creation in software development to the data ecosystem. This adaptation enables organizations to bring the same efficiency and responsiveness to their data operations that DevOps brought to software delivery.
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In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The challenge is an insatiable demand from businesses for AI capabilities, which rely on access to data that has be reliably vetted and relevant to the prompts or queries at hand. Graph databases and knowledge graphs—especially when combined—fulfill this role.
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American political instability leading to monthly "will they, won't they" back and forth about tariffs, is looking to begin to affect the overall tech sector, potentially impacting the progress of AI advancements, upending data center operations, and semiconductor chips. For U.S. tech firms looking to sidestep the effect of tariffs and future-proof their infrastructure, homegrown innovation is crucial, believes JB Baker, vice president of products at ScaleFlux.
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