ClickHouse sits at the heart of a modern data platform. These are the layers I work with most often when designing, building, and operating real time analytical systems for clients.
ClickStack is the official ClickHouse observability platform, unifying logs, metrics, and traces on top of a single high performance analytical engine. It builds on OpenTelemetry for ingestion and pairs ClickHouse with HyperDX as the query and visualisation layer.
The result is observability at warehouse scale, with full SQL access to your telemetry data, long retention at low cost, and the ability to correlate operational signals with business data in the same place.
LibreChat provides an open source, multi model chat interface that can be pointed at your ClickHouse data via MCP and custom tools, giving business users a natural language entry point into the warehouse without locking you into a single LLM vendor.
Langfuse sits alongside it as the observability and evaluation layer for LLM applications, capturing traces, prompts, costs, and quality metrics. Together they form the foundation of an agentic data stack where ClickHouse is both the system of record and the analytical backend powering AI driven workflows.
ClickPipes is the managed ingestion service for ClickHouse Cloud, providing turnkey connectors to streaming and database sources including Kafka, Kinesis, Postgres, and object stores. It handles continuous, exactly once ingestion without the operational overhead of running your own pipeline infrastructure.
For more bespoke requirements I also work with Kafka Connect, dbt, and native ClickHouse table functions to integrate operational systems, data lakes, and SaaS sources into a single analytical layer.
Whether you are starting from scratch or extending an existing deployment, get in touch to discuss how these components can fit together for your use case.
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