"The roots of ClickHouse go back even further. Conceived within the Russian company Yandex in 2009, it has already undergone a long development. In 2026, the rise of AI, and the popularity of LLMs in particular, appears to be a catalyst for the growth of ClickHouse. Its customer base includes AI players Microsoft, Meta, DeepSeek, Anthropic, and Cursor, as well as companies as diverse as eBay, Spotify, Lyft, HubSpot, and Instacart."
"This type of database is very suitable for parallelization, or the simultaneous processing of different calculations. It does this by splitting queries or distributing multiple queries across nodes. So-called Vectorized Query Execution processes data in blocks (batches) instead of row by row, making optimal use of modern CPU architectures. This allows multiple data points to be executed in a single instruction (Single Instruction Multiple Data, or SIMD for short)."
ClickHouse is a high-performance columnar OLAP database originally developed at Yandex in 2009, open-source since 2016 and a standalone company since 2021. The platform emphasizes extreme speed through parallelization and vectorized query execution that processes data in blocks, leveraging SIMD and modern CPU architectures. Adoption spans AI companies (Microsoft, Meta, Anthropic, DeepSeek, Cursor) and enterprises (eBay, Spotify, Lyft, HubSpot, Instacart). Recent developments include a $15 billion valuation and acquisition of Langfuse to add LLM observability. Growth is driven by AI and LLM workloads that demand fast analytical processing and observability for model operations.
Read at Techzine Global
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