The agentic era demands databases to be active context engines for AI, not just passive storage. Spanner is presented as a leading solution, offering a unified, multi-model foundation essential for generative AI and autonomous workflows. Gartner has recognized Spanner's efficiency, ranking it #1 in Lightweight Transactions for operational cloud database management systems. A Forrester study highlighted significant economic value, showing a 132% ROI and a fast payback period for Spanner deployments. True AI autonomy requires deep context, which Spanner provides by natively integrating relational, vector, graph, key-value, and full-text search data. This multi-model integration allows AI to access situational, semantic, and relationship context concurrently. Spanner features include unified graph and relational experiences, integrated vector search, high-performance relational and key-value capabilities, and advanced full-text search. An integrated columnar engine speeds up analytical queries on live data, eliminating the need for extensive ETL processes. Spanner's interoperability allows complex queries combining different data models in a single SQL statement. Spanner Omni extends these multi-model capabilities to any environment, including on-premises and other cloud providers, without hardware restrictions. The platform's underlying architecture leverages technologies like TrueTime and Paxos for global consistency and integrates advanced features like ScaNN-powered vector search and dynamic resharding. Spanner is positioned as a foundational element of Google's Agentic Data Cloud, aiming to break down data silos and enable autonomous AI agents.