According to a recent LinkedIn post from ClickHouse, the company is highlighting Modal’s $355 million Series C financing and revisiting a previously discussed observability architecture built on ClickHouse. The post notes that Modal handles 1–2 million events per minute and stores roughly 500 billion logs in a single ClickHouse table while maintaining query latency under half a second.
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The LinkedIn post suggests this performance is achieved without early reliance on indexes or materialized views, instead leveraging ClickHouse’s raw scan capabilities. It also indicates that this setup supports three real-time customer-facing dashboards tracking function scaling, call lifecycle, and latency percentiles for AI workloads, implying ClickHouse’s relevance in high-volume, AI-driven observability use cases.
For investors, the post underscores ClickHouse’s positioning as a data infrastructure provider capable of supporting large-scale, latency-sensitive analytics workloads tied to AI applications. Association with a high-profile, well-funded customer like Modal could signal growing adoption in AI and developer-focused ecosystems, potentially strengthening ClickHouse’s competitive standing in cloud-native analytics and observability markets.