Systems | Development | Analytics | API | Testing

Earth Engine in BigQuery capability allows SQL users to analyze geospatial data, even if they don't have remote sensing experience.

Data products in BigQuery help teams organize and share data effectively, by managing data as a product, cutting down time to insights.

BigQuery ML adds TimesFM, LLM-based structured output generation, row-wise inference functions, expanded model choice, and Contribution Analysis GA.

BigQuery DataFrames 2.0 brings multimodal data processing and AI into your BigQuery Python workflows, and enables larger Pythonic data science.

A new AI-assistive chat experience powered by Gemini in BigQuery data canvas can help with everything from data exploration to visualization.

For years, data teams have relied on the BigQuery platform to power their analytics and unlock critical business insights. But building, managing, and troubleshooting the data pipelines that feed those insights can be a complex, time-consuming process, requiring specialized expertise and a lot of manual effort. Today, we're excited to announce our vision, a major step forward in simplifying and accelerating data engineering with BigQuery data engineering agent.

Migrating to BigQuery, the data to AI platform from Google Cloud, just got simpler, with AI-powered BigQuery Migration Services enhancements.

New intelligent unified governance capabilities in BigQuery enable organizations to simplify data management and unlock actionable insights.

BigQuery’s evolution as an autonomous data-to-AI platform relies on new features and services to automate and optimize data analytics and management.