Industry veterans note that stream processing and dataflow models have failed to achieve mainstream adoption due to high operational complexity and a general lack of demand for ultra-low latency analytics. With modern data warehouses now offering sufficiently low-latency ingest, experts argue that standalone streaming systems are largely unnecessary for most companies. Instead of replacing traditional SQL databases, these powerful paradigms are better suited to serve as underlying execution architectures for distributed systems.