👋 Hey Product Hunt! I'm the founder of GoogleSQL — and yes, the domain has a story. I registered googlesql.com back in 2008, long before "GoogleSQL" was ever a product name. For years it ran as an enterprise SaaS marketplace. Then two things happened: Google unified its SQL dialect under the same name, and AI turned SQL into the interface between LLMs and enterprise data. Suddenly the domain I'd held for 17 years was sitting at the center of one of the fastest-moving spaces in data. So I built the tool I always wanted as a BigQuery user. Here's the problem: Text-to-SQL demos look magical. Then you put them in production and three things break: 🔸 The query is syntactically perfect but business-wrong 🔸 It touches tables it shouldn't 🔸 It quietly scans 4TB and your bill explodes GoogleSQL fixes the boring-but-critical parts: ⚡ Schema-aware generation — it knows your tables, fields, and nested STRUCT/ARRAY models, so queries are grounded in your actual data 💰 Dry-run first, always — see estimated bytes, cost, and runtime before anything executes ✅ Governance built in — approval flows, audit logs, rollback, role-based access 🌍 13 languages — your team in Tokyo, Berlin, and São Paulo all get native UX Who it's for: data teams on BigQuery who are tired of choosing between "move fast" and "don't torch the budget." What I'd love from you: Try breaking it — ask it something gnarly with nested arrays and window functions Tell me what's missing for your workflow — governance features are prioritized by real requests If cost control resonates, tell me your worst surprise-bill story in the comments 😅 (I'll share mine) I'll be here all day answering every comment. Fire away! 🙌

GoogleSQL

AI SQL workflows for BigQuery — with cost guardrails

AI SQL workflows for BigQuery — with cost guardrails