Teams running real-time analytics on live operational data typically have to move that data into analytical systems — an error-prone process that introduces lag. With Spanner Columnar Engine (GA) users can perform analytical queries that run up to 200 times faster with zero impact on production transactional workloads.
Finally, the reasoning loop is not complete until an agent’s real-time action is captured for downstream analysis. To close this loop, Datastream for Lakehouse Apache Iceberg tables provides real-time Change Data Capture (CDC) from AlloyDB, Cloud SQL, Spanner, and Oracle directly into the open Lakehouse. This process streams every operational change as an append-only event into Lakehouse tables, making that data immediately available in BigQuery for ML model training, feature engineering, and real-time analytics.
“AlloyDB, along with other Google Cloud products like BigQuery, provides the agility and performance needed to continually enhance our platform’s capabilities and help us anticipate emerging trends rather than merely reacting.” – Javi Fernández, CTO, Loyal Guru
Grounding agents in a unified governance foundation
Inconsistent definitions and unclear data ownership across operational and analytical systems can cause agents to hallucinate. To address this, we are extending Knowledge Catalog (Preview), formerly Dataplex, with new integrations for AlloyDB, BigQuery, Bigtable, Cloud SQL, and Spanner to provide a unified map of your data landscape. Integrations with Oracle AI Database@Google Cloud and Firestore are coming soon. The Knowledge Catalog works by aggregating native context across your Google and partner data platforms, semantic models, and third-party catalogs, unifying them into a single, governed source of truth needed to build and scale reliable agents.
“Seven-Eleven Japan created “Seven Central,” a scalable data platform that uses Spanner and BigQuery to provide real-time insights and support the company’s digital innovation strategies. We collect data from all 21,000+ stores, and in anticipation of a future expansion in business operations, we have designed a system that can scale up and run without issue, even if we were to have 30,000 stores, with 1,000 customers per store per day.”
-Izuru Nishimura, Executive Officer and Head of ICT Department, Seven-Eleven Japan
Unified engines for deep reasoning
To move beyond simple Q&A chatbots to autonomous agents, AI must reason across every dimension of your data estate. Historically, combining keyword search, semantic understanding, and relationship mapping meant moving data out of operational databases and into specialized, siloed search engines — introducing latency and complexity.
Google’s Agentic Data Cloud eliminates these silos. By embedding native vector and full-text search directly into operational databases like AlloyDB, Bigtable, Cloud SQL, Firestore, and Spanner, agents can execute highly accurate hybrid searches combining keyword relevance and semantic intent.
We’re also bringing together graph and vector support across BigQuery and Spanner. With graph federation, an agent can match live user intent in Spanner and immediately trace that intent through historical graph relationships in BigQuery Graph — accelerating autonomous decision-making without moving the data. This multi-model approach powers advanced GraphRAG patterns, equipping agents with the rich, interconnected context required to accelerate autonomous decision-making.
“To deliver AI that actually works across HR, payroll, and workforce operations, you need a consistent, real-time data layer. With the power of Google’s Agentic Data Cloud, People Fabric is the backbone of UKG’s Workforce Operating Platform — turning fragmented systems into a single source of truth that powers intelligent, agent-driven experiences.”
-Radhi Chagarlamudi, Group Vice President, Product Engineering, UKG
Built for performance at agent scale
Our Agentic Data Cloud delivers the closed-loop architecture required for the AI era without compromising operational performance. Built on open standards like Iceberg and PostgreSQL, and governed by universal semantics, Google Cloud provides the speed, throughput, and trusted context needed to build the next generation of conversational and autonomous applications.
