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On November 4, 2026, Google Cloud updated the Agentic Data Cloud platform. According to SiliconANGLE, this update introduces a borderless Lakehouse based on Apache Iceberg, which can query remote data on AWS and Azure through private links without egress fees; Knowledge Catalog adds self-learning enhancement capabilities (preview), scanning unstructured data from Google Workspace, Jira, SharePoint, and GitHub, with early adopter data showing that agent accuracy improved by an average of 4x and token consumption dropped by up to 75%; Data Agent Kit is now generally available, connecting MCP tools to VS Code, Claude Code, and Antigravity, with an isolated environment on the AlloyDB side providing 3 million queries per second. There are currently no subsequent developments.
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Google Cloud updates Agentic Data Cloud to support large-scale autonomous AI agentsDevelopments
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- Source:SiliconANGLE
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Nov 4
SiliconANGLE
Google Cloud updates Agentic Data Cloud to support large-scale autonomous AI agents
Google Cloud has updated its Agentic Data Cloud platform, launching a borderless Lakehouse based on Apache Iceberg that can query remote data on AWS and Azure via private links with no egress fees. Knowledge Catalog adds new self-learning enhancement capabilities (preview) that scan unstructured data across Google Workspace, Jira, SharePoint, and GitHub; early adopter data shows agent accuracy improved by an average of 4x and token consumption reduced by up to 75%. Meanwhile, Data Agent Kit is now generally available, connecting MCP tools to VS Code, Claude Code, and Antigravity, while AlloyDB provides an isolated environment supporting 3 million queries per second.