Systems | Development | Analytics | API | Testing

Support for conversational data agents with Gemini and enhancements to BigQuery provide a unified data platform for connecting all your data to AI.

As a serverless, managed service, the new BigQuery Engine for Apache Flink helps organizations bring real-time streaming data to Google AI services.

BigQuery vector search, now GA, empowers data and AI use cases such as semantic search, similarity detection, and RAG with an LLM.

The new BigQuery jobs explorer lets you monitor, troubleshoot and optimize queries to make data-driven decisions to improve performance and costs.

The new contribution analysis model in BigQuery lets you analyze metrics of interest from your dataset across defined test and control subsets.

When optimizing costs, learn about the different factors that influence variance in BigQuery compression ratios.

A new integration lets you connect your BigQuery data with Anthropic's Claude models on Vertex AI.

Gemini in BigQuery features are now generally available, including SQL and Python code generation and explanation, and the BigQuery data canvas.

For large batch queries, BigQuery’s new TreeAH vector index delivers significant latency and cost reductions.

New BigQuery continuous queries execute continuously processing SQL statements as events arrive, for insights that are always up to date.