How ClickHouse Uses Azure

This article provides a detailed analysis of how the five major cloud data warehouses—Snowflake, Databricks, ClickHouse Cloud, Google BigQuery, and Amazon Redshift Serverless—calculate compute cost...

This article details the transformation of ClickHouse's internal data warehouse from a traditional BI-first approach to an AI-first model, significantly enhancing user accessibility to analytics.

The article discusses the potential of lakehouses using open table formats like Apache Iceberg and Delta Lake for observability, highlighting their advantages in scalability, cost-effectiveness, an...

ClickHouse Release 25. 9 introduces significant enhancements, including 25 new features, 22 performance optimizations, and 83 bug fixes.

ClickHouse version 25. 8 introduces 45 new features, 47 performance optimizations, and 119 bug fixes, enhancing its capabilities as a high-performance analytical database.

This article discusses the development of a distributed cache for ClickHouse Cloud, aimed at providing low-latency access to hot data across compute nodes.

The article discusses how ClickHouse efficiently queries Parquet files, a key storage format for Lakehouse architectures, without requiring data ingestion.

This article discusses the implementation of ClickHouse's Bring Your Own Cloud (BYOC) model on AWS, detailing the benefits of customer-controlled cloud environments and the challenges faced during ...

The article details a complex debugging journey faced by ClickHouse engineers as they investigated a mysterious CPU spike in their cloud infrastructure on GCP.

This article discusses the open sourcing of kubenetmon, a tool developed by ClickHouse to monitor data transfer in ClickHouse Cloud.

ClickHouse version 24.

This article details the development of a ClickHouse-powered logging platform, named LogHouse, which efficiently manages over 19 PiB of log data while significantly reducing costs compared to tradi...

This article discusses strategies for making large data loads into ClickHouse resilient and efficient, particularly when migrating from other systems.

This article compares ClickHouse and Snowflake for real-time analytics, highlighting their architectural similarities and differences, performance benchmarks, and migration strategies.

ClickHouse Release 23. 5 introduces 29 new features, 22 performance optimizations, and 85 bug fixes, enhancing the overall functionality and performance of the database.