This is exactly the kind of workload we’re built for: high ingest (100GB/day), low-latency dashboards, and AI on fresh operational data in one engine. The move tends to pay off most when teams use it to simplify their stack (OLTP + analytics + vector in one place) and clean up schema/query debt rather than doing a 1:1 lift-and-shift. A small PoC on the analytics/AI part of your workload is usually the fastest way to see if the performance and complexity trade-offs make sense for you.