AI-powered assistance across Google’s Data Cloud streamlines your operational and analytics workflows. Across BigQuery, Spanner and AlloyDB, Gemini assists you to easily generate, complete, and explain complex queries. Gemini in BigQuery also supports Python code assistance. It also provides context-aware recommendations for data preparation and customizable SQL translations, making complex data tasks highly accessible and efficient.

Google Cloud provides first-party agents to automate data engineering, science, and analytics. The Data Engineering Agent in BigQuery autonomously manages pipeline creation and migration using Knowledge Catalog metadata for transformations. The Data Science Agent speeds up development by planning data prep and ML training with full contextual awareness and autonomous autocorrection. The Database Onboarding Agent evaluates user requirements to recommend the best Google Cloud database and guides users through the provisioning process. The Database Observability Agent proactively monitors database fleet performance, identifies anomalies, and provides intelligent recommendations and multi-turn remediation workflows for troubleshooting and optimization.

Deep Research Agent moves beyond simple single-step lookups to conduct extensive corporate investigations. It independently structures multi-stage queries, traces cross-system data lineages, blends structured tables with unstructured data (like PDFs, contracts, and images), and synthesizes comprehensive research briefs outlining root causes and future trends.

BigQuery Conversational Analytics allows data professionals to extract insights and run predictions on multimodal and multi-format lakehouse data via natural language chat with high accuracy grounded in entities, relationships and business metrics. Conversational Analytics in databases delivers real-time operational intelligence, enabling you to interact with Cloud SQL, Spanner, and AlloyDB using natural language. Looker Conversational Analytics enables business teams to use natural language and a governed semantic layer for trusted decision-making, which reduces the workload for technical teams. Looker dashboard agents further enhance this experience by adding natural language queries and automated summaries directly to dashboards. For real-time operational needs, proactive agentic workflows allow you to transition from reactive reporting to event-driven actions by automatically investigating anomalies and suggesting mitigation plans.

Gemini Enterprise allows practitioners and business users to gain instant insights by simply asking questions in natural language. By publishing conversational agents built in BigQuery, Looker, Lakehouses, and Databases to the centralized Gemini Enterprise Agent Gallery, you can empower users to access enterprise data systems through a single interface. This approach completely abstracts the underlying technical complexities of the data ecosystem while ensuring that data access remains secure, audited, and governed within daily productivity workspaces. From Gemini Enterprise, administrators can easily provision access, ensuring that data interaction remains secure, audited, and governed within their daily productivity workspaces.

Developers can easily build and embed custom agents to tackle unique enterprise data challenges. The Conversational Analytics API lets you embed natural-language query functionality directly into custom applications, internal tools, or automated workflows. The BigQuery ADK integration toolset provides ready-to-use functions for schema exploration, querying, and forecasting. Querydata for databases is available for Cloud SQL, AlloyDB, and Spanner to help you build agents for operational data. The BigQuery Agent Analytics plugin for ADK allows you to stream agent activity data directly to BigQuery for real-time observability and evaluation with a single line of code. To further streamline operations, the Looker block for BigQuery Agent Analytics provides a turn-key solution for monitoring, debugging, and optimizing AI agents.

The Data Agent Kit streamlines your workflows by bundling secure Model Context Protocol (MCP) tools, native IDE plugins, and pre-codified data engineering and data science skills into a single, open-source package. Bringing these capabilities directly into IDEs like VS Code, Claude Code, Codex, and Antigravity CLI shifts the developer's role from manually writing pipeline code to intent-driven development across the entire data estate. Furthermore, developers can leverage the open-source MCP Toolbox to securely connect agents to AlloyDB, BigQuery, Spanner, Cloud SQL, Knowledge Catalog, and Apache Spark. Get started with the Data Agent Kit.