Google named the furthest in vision for the Gartner Magic Quadrant for Data Lakehouse Platforms
Google Cloud’s borderless Lakehouse is recognized as the furthest in vision in Gartner’s inaugural Magic Quadrant for Data Lakehouse Platforms, reflecting its role in enabling autonomous AI agents to operate across distributed enterprise data without costly migrations.
The borderless Lakehouse is built on open Apache Iceberg and connects multi-cloud, SaaS, and operational data without requiring costly data copies or migrations. It enables organizations to activate distributed data immediately, supporting use cases such as AI agents deployed by Commerzbank across contact centers and marketing while adhering to European banking regulations. The platform reduces campaign production times from weeks to days and provides contact center agents with verified next steps in seconds, demonstrating practical operational impact.
Knowledge Catalog serves as the universal context engine, autonomously aggregating and curating metadata from all sources to enrich AI agents with accurate business context. Bloomberg Media integrated conversational queries with the semantic layer, achieving a 63% improvement in query accuracy and eliminating hallucinations.
The lakehouse runtime catalog integrates directly with Knowledge Catalog, ensuring agents receive precise, governed context for decision-making without manual curation overhead. Google integrates leading AI and high-performance processing engines directly into open table formats, enabling complex reasoning loops where data resides.
BigQuery AI includes token controls that allow teams to estimate usage, set limits, and optimize models, reducing token consumption by 230x compared to row-by-row processing. PayPal connected Looker semantic models to AI agents, allowing 5,000 employees to query live data with near 100% accuracy and accelerating insights by 50%.