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ClickHouse has expanded its strategic collaboration with Google Cloud, adding four product and infrastructure integrations across analytics, deployment and processors.
The updates include native integration with Google Cloud Lakehouse, the availability of ClickHouse's Bring Your Own Cloud model on Google Cloud, the migration of ClickHouse Cloud on Google Cloud to Google's Axion Arm-based processors, and an integration between the ClickHouse MCP server and Google Antigravity.
The Lakehouse integration lets customers query data across their data lakes and ClickHouse deployments without duplicating data or building additional extract, transform and load pipelines. Users can work with Lakehouse-managed tables and existing ClickHouse workloads from a single interface.
The setup is aimed at organisations storing large volumes of structured and semi-structured data in Google Cloud Storage and other Lakehouse-compatible sources. It is designed to reduce the need to move data between systems while allowing teams to run ClickHouse's query engine across a broader set of data.
Cloud control
Another part of the expansion is the introduction of Bring Your Own Cloud on Google Cloud. Under this model, customers can run ClickHouse Cloud inside their own Google Cloud Virtual Private Cloud, while ClickHouse manages provisioning, upgrades, monitoring and scaling.
The approach is intended for organisations that want managed database operations while keeping direct control of their data environment. Data remains within the customer's environment, and identity and access management policies, network controls and encryption settings stay under the customer's ownership.
ClickHouse presented the Google Cloud launch as particularly relevant for enterprises with data residency, compliance or sovereignty requirements. For those customers, the model offers a way to use the managed service while keeping workloads inside existing cloud boundaries.
Processor shift
ClickHouse is also migrating ClickHouse Cloud on Google Cloud to Google's custom Arm-based Axion processors. The change is intended to improve query throughput and reduce costs for analytical workloads without requiring customers to alter applications or queries.
According to the company, early benchmarks showed gains in throughput and latency for real-time analytical workloads on Axion. The migration is being rolled out automatically for ClickHouse Cloud customers on Google Cloud.
The use of Arm-based server processors is becoming more common among cloud providers and software suppliers seeking lower operating costs and better efficiency for data-intensive workloads. Google introduced Axion as its in-house processor option for a range of cloud uses, joining similar efforts by other large cloud groups.
AI tools
The fourth part of the announcement concerns software development tools tied to artificial intelligence workflows. ClickHouse's MCP server can now integrate with Google Antigravity, which the company described as an AI-native integrated development environment.
The combination is intended to let developers and data analysts connect ClickHouse with tools in Antigravity, including a feature called Comment on Artifacts. ClickHouse presented the integration as a workflow change for teams building or analysing data-driven applications.
The broader collaboration adds to ClickHouse's efforts to deepen its position within the Google Cloud ecosystem as competition intensifies in analytics databases and cloud data platforms. Database vendors are increasingly trying to reduce friction between operational systems, cloud object storage, data lake architectures and AI development tools.
For ClickHouse, the announcement spans several parts of that market at once: data access across lakehouse environments, managed deployment models for regulated customers, underlying processor economics and links to newer AI-focused developer interfaces. For Google Cloud, the tie-up expands its roster of software partners adopting its infrastructure and data services more closely.
ClickHouse said thousands of data-intensive organisations already use ClickHouse Cloud for observability, business intelligence, AI and machine learning pipelines, and analytical applications.
