How ClickHouse Uses Avro

Ten best practices for getting the most out of ClickHouse, from primary key design and data types to materialized views, ReplacingMergeTree, and join optimization — illustrated with benchmarks on a 150M row dataset.

Stream data from Pub/Sub in a few clicks for blazing-fast analytics over GCP infrastructure logs, application events, and operational signals. No routing through GCS or Dataflow required.

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

The article discusses the integration of Rust into ClickHouse, emphasizing the strategic decision to enhance the system without rewriting it entirely in Rust.

This article explores the various input formats supported by ClickHouse for data ingestion, focusing on performance and efficiency.

The article discusses Goldsky's architecture utilizing ClickHouse, Redpanda, and Apache Flink for efficient blockchain data analytics.

This article provides an in-depth exploration of Apache Parquet, a columnar storage format, and its integration with ClickHouse, a powerful analytical database.

ClickHouse Release 23. 2 introduces significant enhancements including 18 new features, 30 performance optimizations, and 43 bug fixes.

This article explores the integration of ClickHouse and BigQuery for real-time analytics, highlighting their complementary strengths.

This article provides a comprehensive introduction to the various data formats supported by ClickHouse, focusing on how to effectively import and export data using these formats.

The article discusses the rapid development of ClickHouse, highlighting its performance improvements and new features over the years.