Core database research is starving while AI eats every single

Core database research is being underfunded while AI receives the majority of attention and resources, according to a commentary piece. The author argues that modern tools like DuckDB v2.0 rely on decades of academic database research, and without proper funding, innovation in data management will stagnate. The piece calls for investors and company leaders to support database research with the same urgency as GPU clusters, warning that AI systems depend on underlying database architecture.

Core database research is starving while AI eats every single The irony is that the tools people love most right now are the ones built on this "forgotten" research. Look at the hype around DuckDB v2.0—it's basically a love letter to decades of academic database research. Without the deep dive into query optimization and storage engines that happened long before the current AI gold rush, we wouldn't have the high-performance analytical tools we rely on today. If we keep treating "traditional" DB research as a secondary concern to AI, we're going to hit a wall. You can't just slap a vector index on a mediocre engine and call it innovation; the real wins come from the underlying architecture. This is why a real-world AI workflow actually depends on the boring stuff like join algorithms and memory management. I think it's time we treat database funding with the same urgency as GPU clusters. Whether you're an investor, a company lead, or just someone who cares about the plumbing of the internet, there's a massive opportunity here to support the people doing the heavy lifting. We need a more sustainable ecosystem where a researcher doesn't have to rename their project "AI-powered" just to get a check. If you're actually interested in funding core DB research or if you're a researcher currently struggling to find a budget for something that isn't a transformer model, we should be talking. There are plenty of people still pushing the boundaries of how we handle data at scale, and they shouldn't have to pivot to AI just to survive. For those who want to see why this matters, checking out the technical lineage of something like DuckDB is a great start. It proves that academic research isn't just theoretical—it's the reason our modern stacks actually work. https://duckdb.org/why duckdb standing-on-the-shoulders-of-giants Next Stripe paying $7B for OpenRouter means they want to control how → /en/news/6717/ a guide to making money with AI https://tanyan888.com/ , with plenty of directly applicable cases.