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clickhouse.build is an open source, agentic CLI that accelerates the adoption of ClickHouse within your existing Postgres-backed TypeScript application.

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clickhouse.build: An agentic CLI to accelerate Postgres apps with ClickHouse

We benchmarked the five major cloud data warehouses at 1B–100B rows using their real billing models to measure performance per dollar. Results show how cost-performance shifts as data grows.

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How the 5 major cloud data warehouses compare on cost-performance

This guide explains how the five major cloud data warehouses—Snowflake, Databricks, ClickHouse Cloud, BigQuery, and Redshift—allocate, meter, and bill compute, giving engineers a clear understanding of what the billing units mean and how to compare them.

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How the 5 major cloud data warehouses really bill you: A unified, engineer-friendly guide

“Moving to ClickHouse, we managed to get 70% cheaper costs and improved our search performance by 10x. We’re doing more and storing more with less.”

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How Canva achieved 10x faster search and 70% lower costs with ClickHouse

In this post, we’ll explore why log analysis is inherently hard, what event patterns solve, how ClickStack implements them, and why we’ve chosen to do so at query time. We’ll also share practical guidance on how to make the most of event patterns today, a

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Using Event Patterns in ClickStack to accelerate observability analysis

Read how Streamfold’s Rotel pushes OpenTelemetry 4x faster into ClickHouse - benchmarking efficiency at scale and revealing the tools that make it happen

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From OTel to Rotel: Petabyte-scale tracing with 4x greater throughput

“Our query efficiency has improved significantly since moving to ClickHouse. We can now show our clients real-time analytics.” - Sidhant Gaba, Engineer

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How FabFunnel powers real-time marketing analytics with ClickHouse Cloud

How teams used ClickHouse to power agents with streaming data, sub‑second analytics, and production‑ready dashboards at the AWS MCP Hackathon.

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Building Real‑Time AI: Highlights from the AWS MCP Hackathon in San Francisco

Welcome to the November 2025 ClickHouse newsletter, which will round up what’s happened in real-time data warehouses over the last month.

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November 2025 newsletter

chDB recently upgraded the ClickHouse kernel from v25.5 to v25.8.2.29. This blog post goes through that journey.

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chDB Kernel Upgrade Journey: Upgrading ClickHouse to v25.8.2.29 

We’re excited to announce a new integration between ClickHouse and Microsoft OneLake, powered by the OneLake Tables APIs and Apache Iceberg.

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ClickHouse integrates with Microsoft OneLake Table APIs

“Cost has gone down, speed has gone up, and the scale of our customers has increased exponentially.”  Nir Barak, Principal Data Engineer

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Scaling SaaS security: Reco’s migration from Postgres to ClickHouse Cloud

With community-standard instrumentation and the OTel Collector acting as a translation and routing engine, your metrics, logs, and traces are no longer trapped in a walled garden.

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Drinking the OTel SODA: Send Observability Data Anywhere

Learn more how we built StockHouse, a real-time financial analytics application with Massive, ClickHouse and Perspective that scales to thousands of events per second.

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Building StockHouse: Real-time market analytics with ClickHouse

“Even if data increases by 4x or 5x in the next year, we literally don't have to worry about it. We’ve got the architecture right, the stack right, and the right platform at the end of the day.” - Akshay Gupta, Lead Data Engineer

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How Merkle Science fights crypto crime at scale with ClickHouse Cloud

Pump built their cloud cost visibility platform on ClickHouse Cloud to ingest and analyze 5 billion billing records daily, solving challenges that would have been impossible with Postgres.

Blog

How Pump uses ClickHouse Cloud to bring cloud costs into focus