Gartner names Google Cloud a Leader in its first lakehouse report
Google tells that Gartner put it furthest in vision. Its one proof number is a 63% increase in query accuracy.
Google Cloud tells that Gartner named it a Leader, furthest in vision, in the first Magic Quadrant for lakehouse platforms. A Magic Quadrant is a ranked report of vendors. A lakehouse keeps company data in open, low-cost storage. Google tells that AI agents can use data in AWS, Azure and Google Cloud with no copies. Agents are software that does tasks.
How it works
Google made the Lakehouse on Apache Iceberg, an open table format. Teams use Iceberg tables where they are. Google tells that it caches only the data blocks that queries touch. This removes egress fees that change, which are charges to move data out of a cloud.
A Knowledge Catalog gives agents business context, such as metric formulas.
The numbers
Google tells that Bloomberg Media got a 63% increase in query accuracy when it used the catalog. It also tells that Bloomberg Media has no hallucinations, which are incorrect answers by a model. Google tells that Commerzbank, a German bank, cut campaign production from weeks to days.
What is not known
Google is the source of all these results. It gave no test method and no price data. The words “in our opinion” show that the Gartner view is the view of Google.
Insight: Google competes for the data that agents read
On 2 November 2026, Gartner named Microsoft, IBM and ServiceNow as Leaders in its first agent management report. On 26 October 2026, Google put metric rules into its catalog. This reads as a divide: others control the agents, and Google tries to control the data context that agents use. Find where your agents get metric definitions.
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