Spanner offers conversational analytics, which lets users query their

## Feature Feature Spanner offers conversational analytics, which lets users query their operational data using natural language. This feature is powered by the[Conversational Analytics API](https://docs.cloud.google.com/gemini/data-agents/conversational-analytics-api/overview), which can help you translate complex human dialog into precise database queries to provide actionable insights. This feature is in[Preview](https://cloud.google.com/products#product-launch-stages). For more information, see [Conversational analytics for Spanner overview](https://cloud.google.com/gemini/data-agents/conversational-analytics/spanner). ## Feature Feature You can create BigQuery[non-incremental materialized views over Spanner data](https://cloud.google.com/bigquery/docs/materialized-views-create#spanner)to improve query performance by periodically caching results. This feature is[generally available](https://cloud.google.com/products/#product-launch-stages) (GA). ## Feature Feature You can use[Cloud resource connections with EXPORT DATA statements](https://cloud.google.com/bigquery/docs/export-to-spanner#export%5Fusing%5Fa%5Fcloud%5Fresource%5Fconnection)to reverse ETL (extract, transform, load) BigQuery data to Spanner. This feature is[generally available (GA)](https://cloud.google.com/products/#product-launch-stages).