Learn about the latest ClickHouse tips, tricks and company announcements.

We are thrilled to announce that ClickHouse has acquired Langfuse, the leading open-source platform for LLM observability, evaluations, and prompt management.

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ClickHouse welcomes Langfuse: The future of open-source LLM observability

“ClickHouse is very easy to operate, very cost-effective, and scaling is really simple with ClickHouse Cloud. We’re very happy with it.”  Max Sumrall, Software Engineer

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How Picnic uses ClickHouse for real-time analytics across 20+ fulfillment centers and 1 million unique stores

Welcome to the January 2026 ClickHouse newsletter, which will round up what’s happened in real-time data warehouses over the last month.

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January 2026 newsletter

ClickHouse 25.12 is here! In this post, you will learn about faster top-n queries with data skipping indexes, faster lazy reading with join-style execution model, and more!

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ClickHouse Release 25.12

Replicate data from MongoDB into ClickHouse Cloud in just a few clicks for blazing-fast analytics on document-based data. Now with more connectivity options, improved reliability, and support for DocumentDB.

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MongoDB CDC connector for ClickPipes is now in Public Beta

ClickHouse now supports granule-level pruning for lightweight projections, enabling them to act as true secondary indexes that work together to dramatically speed up multi-filter queries without duplicating full table data.

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ClickHouse projections now behave like true secondary indexes

“With ClickHouse, we saw a whopping 88% reduction in storage, and P99 queries dropped from 6+ seconds to less than 200 milliseconds.” - Pragnesh Bhavsar, Staff Engineer

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How HighLevel rebuilt its data platform for speed, scale, and simplicity on ClickHouse Cloud

ClickHouse now streams secondary index evaluation alongside data reads instead of scanning indexes upfront, making index usage incremental and demand-driven, reducing startup latency, unnecessary work, and memory usage.

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Streaming secondary indices: incremental, demand-driven index evaluation

From 30 seconds to 0.5 seconds — the story of how we made ClickHouse fly on in-memory data

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The Journey to Zero-Copy: How chDB Became the Fastest SQL Engine on Pandas DataFrame

“ClickHouse works very well as part of our multi-system data stack. It’s excellent for time-series data, and the VersionedCollapsingMergeTree engine was a game-changer for us, speeding up queries from 20 seconds in Snowflake to 1.5 seconds in ClickHouse.”

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Behind the music: How Chartmetric is scaling music analytics with ClickHouse

Announcing the Bindplane + ClickStack integration. Read how Bindplane helps ClickStack scale to petabyte observability by taking the pain out of running and scaling OpenTelemetry collectors.

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Bindplane + ClickStack: Operating OpenTelemetry collectors at scale

Mike Shi, Head of Observability at ClickHouse, reflects on a pivotal year building ClickStack and learning from users. From cardinality and trace-first systems to OpenTelemetry and AI SRE, he shares what changed in 2025 and what matters next.

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Observability - a year in review

A look back at the later half of 2025 in the world of ClickStack.

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ClickStack: A (half) year in review

Most AI SRE tools sound smart but fall apart in real incidents. Manveer Chawla explains why the problem isn’t the model, it’s the observability foundation, and how fixing that changes everything.

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Your AI SRE needs better observability, not bigger models.

At ClickHouse, we don't like the word "impossible." We believe that with the right tools, everything is a data problem. To prove it, we decided to complete the 2025 Advent of Code unconventionally: using pure ClickHouse SQL.

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Solving the "Impossible" in ClickHouse: Advent of Code 2025

ClickHouse acquires Langfuse to enter LLM observability and introduces a native Postgres service to unify transactional and analytical workloads

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ClickHouse raises $400M Series D led by Dragoneer to accelerate expansion across analytics and AI infrastructure

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