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How ClickHouse Uses Apache Arrow

9 engineering articles about Apache Arrow from ClickHouse's engineering team

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ClickHouse
Intermediate
The ClickHouse adapter for dbt v2 is in public beta, powered by dbt’s Rust engine. ClickHouse also joins the dbt platform in private beta, supporting open-source ClickHouse and ClickHouse Cloud.
10 min read
Includes Code
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ClickHouse
Advanced
After claims that ClickHouse is “winning the observability wars” sparked debate, we reflect on why it has become a leading storage and query engine, where it still falls short, and why winning the database layer isn’t the same as winning observability.
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ClickHouse
Intermediate
ClickHouse was released in open source on Jun 15 2016, ten years ago. Since then, it became the most popular open source analytical database with more than 2000 contributors.
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ClickHouse
Intermediate
ClickHouse now has an official ADBC driver, giving Ruby, R, C, and every other ADBC-aware tool zero-conversion, Arrow-native access to ClickHouse without a dedicated client for each language.
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ClickHouse
Advanced
This article discusses the transition from OpenTelemetry (OTel) to Rotel, an open-source Rust project that enhances tracing capabilities at petabyte scale.
28 min read
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Has Summary
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ClickHouse
Beginner
The article discusses the development of StockHouse, a real-time market analytics application that leverages ClickHouse, Massive, and Perspective to handle high-frequency financial data.
Lionel Palacin
7 min read
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Has Summary
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ClickHouse
Intermediate
ClickHouse version 25. 8 introduces 45 new features, 47 performance optimizations, and 119 bug fixes, enhancing its capabilities as a high-performance analytical database.
ClickHouse Team
15 min read
Includes Code
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ClickHouse
Intermediate
This article explores the integration of the Perspective library with ClickHouse to create real-time visualizations of streaming Forex data.
Dale McDiarmid
14 min read
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ClickHouse
Intermediate
This article delves into the Apache Parquet format and its integration with ClickHouse, focusing on file reading and writing optimizations.
Dale McDiarmid
26 min read
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