Google unveiled six powerful AI agents aimed at automating tedious data tasks across BigQuery, Spanner, and GitHub. These tools build data pipelines, debug code, and answer complex queries - no SQL required. Powered by Gemini, the agents support conversational analytics, Python-based code interpretation, and LLM-style SQL. BigQuery adds AI-native SQL, vector search, and multimodal table support. Spanner introduces a new columnar engine for faster analytics. Developers can embed these tools via APIs and GitHub Actions. Most features are included at no extra cost in existing BigQuery and Looker plans.
Google unveiled six powerful AI agents aimed at automating tedious data tasks across BigQuery, Spanner, and GitHub. These tools build data pipelines, debug code, and answer complex queries - no SQL required. Powered by Gemini, the agents support conversational analytics, Python-based code interpretation, and LLM-style SQL. BigQuery adds AI-native SQL, vector search, and multimodal table support. Spanner introduces a new columnar engine for faster analytics. Developers can embed these tools via APIs and GitHub Actions. Most features are included at no extra cost in existing BigQuery and Looker plans.