Google Cloud Blog

Made Spanner a first-class citizen for AI workloads

Bridged the gap between operational and analytical data

Made migrations simpler

Raised the bar on price performance, and 

Enhanced enterprise safety and data protection

AI capabilities: We introduced multiple capabilities to make Spanner an AI-first database. This includes built-in AI integrations such as ML.PREDICT for natural language queries, MCP Toolbox for Databases, Spanner extension for Gemini CLI, conversational data agents, and Agent Development Kit for Spanner, which together, empower developers to build sophisticated, agentic applications with Spanner. We also extended our multi-model platform to power advanced AI use cases, such as using graphs with vector search for GraphRAG use-cases. Finally, Vertex RAG Engine now lets you use Spanner as a RAG-managed database for data indexing and retrieval operations.

Graph enhancements: Spanner Graph added support for schemaless data that enables iterative development and frequent updates without requiring schema changes. You can also ...