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ClickHouse Expands Cloud Data Platform With ClickStack and Planned Postgres Service

ClickHouse Expands Cloud Data Platform With ClickStack and Planned Postgres Service

According to a recent LinkedIn post from ClickHouse, the company is positioning ClickHouse Cloud as a broader data platform with the inclusion of ClickStack and plans for Postgres-as-a-service. The post links to a detailed retrospective on the first year of building ClickHouse Cloud, emphasizing how early infrastructure choices have enabled subsequent product expansion.

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The LinkedIn content highlights several core architectural decisions, including choosing Kubernetes over direct VMs, using kOps instead of managed Kubernetes, and moving its Data Plane API from AWS Lambda to Golang. It also notes a shift to Istio/Envoy rather than relying on one network load balancer per service, and claims auto-scaling tuned for analytical workloads.

For investors, the post suggests ClickHouse is investing heavily in cloud-native architecture to support multi-service offerings and higher-value managed products such as Postgres-as-a-service. This could expand the company’s addressable market beyond its core analytical database into a broader data infrastructure stack, potentially increasing recurring cloud revenue over time.

The emphasis on auto-scaling for analytical workloads and the service-mesh approach points to a strategy focused on performance, reliability, and operational efficiency at scale. If successful, these technical choices may improve unit economics of the cloud business and make the platform more competitive against larger hyperscale and database-as-a-service providers.

The addition of ClickStack and forthcoming Postgres support also indicates a move toward deeper ecosystem integration, which may increase customer stickiness and cross-sell opportunities. However, the post is primarily technical and retrospective in nature, and it does not provide quantitative metrics such as revenue, usage growth, or customer counts, leaving the financial impact to be inferred rather than explicitly detailed.

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