Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.