A deep dive into how ClickHouse uses data-skipping metadata to turn Top-N queries into a pruning problem, cutting I/O and speeding up queries at scale.
ClickHouse acquires Langfuse to enter LLM observability and introduces a native Postgres service to unify transactional and analytical workloads
We are thrilled to announce that ClickHouse has acquired Langfuse, the leading open-source platform for LLM observability, evaluations, and prompt management.
“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
Welcome to the January 2026 ClickHouse newsletter, which will round up what’s happened in real-time data warehouses over the last month.
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.
Polymarket migrated computationally expensive analytical workloads from PostgreSQL to ClickHouse to power real-time, user-facing features that scale with rapid growth
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!
“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
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.
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.
“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.”
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.
From 30 seconds to 0.5 seconds — the story of how we made ClickHouse fly on in-memory data
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.
A look back at the later half of 2025 in the world of ClickStack.
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.
ClickStack’s December update introduces the intelligent use of Materialized Views that automatically accelerate charts and dashboards, delivering faster insights at scale with zero user effort.
A collection of my favorite technology blogs
Have a look at some of the most notable demos we built this year, and how they help people feel the speed of ClickHouse through real, hands-on examples.