SQL analysts struggle to make expressive charts — embed a grammar-of-graphics in SQL

Product teams, analytics engineers, and SQL-savvy analysts at mid and large enterprises struggle to express complex, production-grade visualizations from SQL alone; they either export result sets into a general BI tool, hand-code specs in Vega/Vega-Lite, or build brittle ETL-to-viz pipelines. This slows delivery, causes duplicated metric logic, and increases maintenance overhead—an issue present across roughly 500,000 mid+ enterprises that together represent an estimated $25.0B market at about $50K ACV. You could build a SQL extension and compiler that embeds a grammar-of-graphics directly into queries (via declarative SQL functions or a lightweight DSL) and emits portable visualization specs (Vega-Lite/JSON) for server-side rendering or client runtimes. Ship connectors, a minimal SDK/editor for iteration, and enterprise features like RBAC, lineage, and materialized view orchestration so charts are fast and governed. Offer cloud-managed and self-hosted licensing to hit both product teams and centralized analytics organizations. Market timing is favorable: firms are standardizing on SQL as the lingua franca, product teams increasingly demand embedded analytics instead of separate ETL flows, and open visualization standards lower integration cost—so adoption barriers are materially lower today than five years ago. To stand out, focus on predictable performance at scale, multi-dialect SQL support, and enterprise security and governance—strengths incumbents and visualization libraries often lack—while recognizing real challenges around SQL dialect fragmentation, execution optimization, and persuading central analytics teams to accept new hooks in their pipelines.