For the 6th consecutive year, Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems. We've also been positioned furthest right in Vision for the 3rd consecutive year! Our vision is engineered for the agentic era: a converged, unified, and AI-native data cloud that brings AI directly to your data. Innovations like our new Data Agents, Spanner's columnar engine, and BigQuery's support for open formats like Apache Iceberg are key to this blueprint. Download the report today → https://goo.gle/4pt4r5K
The Blueprint for the AI Native Data Future Google’s leadership in the 2025 Gartner Magic Quadrant signals a deeper shift in enterprise architecture. As agentic AI becomes the operating system of modern business, the real differentiator is a unified data foundation built for trust, scale and real time intelligence. Enterprises that anchor themselves in an AI native Data Cloud will accelerate innovation while simplifying complexity. The winners of tomorrow will be those who treat data not as an asset to store but as a living fabric that powers autonomous decisions, intelligent applications and continuous value creation.
Congratulations!
Congratulations on Gartner recognition! Leader positioning for Cloud Database Management demonstrates consistent excellence!
The standout detail in this report isn't just the 'Leader' status, but being positioned furthest in 'Completeness of Vision' for the third consecutive year. As we pivot to the Agentic AI era, the traditional silo between operational databases and analytical engines is becoming a liability. Google’s unified 'AI-native' approach—tightly coupling BigQuery, Spanner, and Vertex AI—is exactly the architecture needed to fuel autonomous, agentic workflows without the latency of fragmented stacks. A strong signal for where enterprise data architecture is heading in 2025. #GoogleCloud #AgenticAI #BigQuery #GartnerMQ #DataStrategy
Congratulations
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15hCongrats on the recognition. The real leap is happening now that data platforms are shifting from ‘storage-first’ to ‘agent-first.’ When AI sits directly on the data layer, the entire logic of speed, accuracy, and decision-making changes.