AI workloads are exposing a mismatch in how most teams have built their data platforms.
You see it whether you are building agentic apps, shipping conversational analytics, or using AI to speed up incident response. Suddenly, the database has to handle far more concurrent queries, return answers in well under a second, and retain much more granular data for much longer. Systems built for batch reporting and periodic dashboards start to look out of step with the job at hand.
This is already happening across three areas that are…
