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

ClickHouse source code is published under the Apache 2.0 License. Software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

logo_without_text.svg

Stay informed on feature releases, product roadmap, support, and cloud offerings!

Subscribe to our newsletter

icon-github.svg

icon-slack.svg

icon-telegram.svg

icon-twitter.svg

Join the ClickHouse conversation on

ClickHouse

ClickHouse Cloud

Download

PRODUCT

Documentation

Training

Support

Comparison

Use cases

RESOURCES

Blog

Our story

Careers

Contact us

News and events

COMPANY

Pump built their cloud cost visibility platform on ClickHouse Cloud to ingest and analyze 5 billion billing records daily, solving challenges that would have been impossible with Postgres.

large_Pump User Story Issue 1206.png

medium_Pump User Story Issue 1206.png

small_Pump User Story Issue 1206.png

thumbnail_Pump User Story Issue 1206.png

Pump User Story Issue 1206.png

How Pump uses ClickHouse Cloud to bring cloud costs into focus

clickhouse.build is an open source, agentic CLI that accelerates the adoption of ClickHouse within your existing Postgres-backed TypeScript application.

large_clickhousebuildbanner.jpg

medium_clickhousebuildbanner.jpg

small_clickhousebuildbanner.jpg

thumbnail_clickhousebuildbanner.jpg

clickhousebuildbanner.jpg

clickhouse.build: An agentic CLI to accelerate Postgres apps with ClickHouse

We benchmarked the five major cloud data warehouses at 1B–100B rows using their real billing models to measure performance per dollar. Results show how cost-performance shifts as data grows.

large_518800743-54d259df-9a1b-4798-b91c-5fea9f2e00ab.jpg

medium_518800743-54d259df-9a1b-4798-b91c-5fea9f2e00ab.jpg

small_518800743-54d259df-9a1b-4798-b91c-5fea9f2e00ab.jpg

thumbnail_518800743-54d259df-9a1b-4798-b91c-5fea9f2e00ab.jpg

518800743-54d259df-9a1b-4798-b91c-5fea9f2e00ab.jpg

How the 5 major cloud data warehouses compare on cost-performance

This guide explains how the five major cloud data warehouses—Snowflake, Databricks, ClickHouse Cloud, BigQuery, and Redshift—allocate, meter, and bill compute, giving engineers a clear understanding of what the billing units mean and how to compare them.

large_519223445-6865553b-2d10-4c12-8e32-8d4ec7804fc2.jpg

medium_519223445-6865553b-2d10-4c12-8e32-8d4ec7804fc2.jpg

small_519223445-6865553b-2d10-4c12-8e32-8d4ec7804fc2.jpg

thumbnail_519223445-6865553b-2d10-4c12-8e32-8d4ec7804fc2.jpg

519223445-6865553b-2d10-4c12-8e32-8d4ec7804fc2.jpg

How the 5 major cloud data warehouses really bill you: A unified, engineer-friendly guide

“Moving to ClickHouse, we managed to get 70% cheaper costs and improved our search performance by 10x. We’re doing more and storing more with less.”

large_Canva Customer User Story Issue 1208 (1).png

medium_Canva Customer User Story Issue 1208 (1).png

small_Canva Customer User Story Issue 1208 (1).png

thumbnail_Canva Customer User Story Issue 1208 (1).png

Canva Customer User Story Issue 1208 (1).png

How Canva achieved 10x faster search and 70% lower costs with ClickHouse

In this post, we’ll explore why log analysis is inherently hard, what event patterns solve, how ClickStack implements them, and why we’ve chosen to do so at query time. We’ll also share practical guidance on how to make the most of event patterns today, a

large_image2.png

medium_image2.png

small_image2.png

thumbnail_image2.png

image2.png

Using Event Patterns in ClickStack to accelerate observability analysis

Read how Streamfold’s Rotel pushes OpenTelemetry 4x faster into ClickHouse - benchmarking efficiency at scale and revealing the tools that make it happen

large_rotel-to-otel.png

medium_rotel-to-otel.png

small_rotel-to-otel.png

thumbnail_rotel-to-otel.png

rotel-to-otel.png

From OTel to Rotel: Petabyte-scale tracing with 4x greater throughput

“Our query efficiency has improved significantly since moving to ClickHouse. We can now show our clients real-time analytics.” - Sidhant Gaba, Engineer

large_User Story Idea Clan Issue 1204.png

medium_User Story Idea Clan Issue 1204.png

small_User Story Idea Clan Issue 1204.png

thumbnail_User Story Idea Clan Issue 1204.png

User Story Idea Clan Issue 1204.png

How FabFunnel powers real-time marketing analytics with ClickHouse Cloud

How teams used ClickHouse to power agents with streaming data, sub‑second analytics, and production‑ready dashboards at the AWS MCP Hackathon.

large_Blog Banner Building Real-Time AI.jpg

medium_Blog Banner Building Real-Time AI.jpg

small_Blog Banner Building Real-Time AI.jpg

thumbnail_Blog Banner Building Real-Time AI.jpg

Blog Banner Building Real-Time AI.jpg

Building Real‑Time AI: Highlights from the AWS MCP Hackathon in San Francisco

Welcome to the November 2025 ClickHouse newsletter, which will round up what’s happened in real-time data warehouses over the last month.

large_nov2025_image0.png

medium_nov2025_image0.png

small_nov2025_image0.png

thumbnail_nov2025_image0.png

nov2025_image0.png

November 2025 newsletter

chDB recently upgraded the ClickHouse kernel from v25.5 to v25.8.2.29. This blog post goes through that journey.

large_Image from GitHub (2).jpg

medium_Image from GitHub (2).jpg

small_Image from GitHub (2).jpg

thumbnail_Image from GitHub (2).jpg

Image from GitHub (2).jpg

chDB Kernel Upgrade Journey: Upgrading ClickHouse to v25.8.2.29 

We’re excited to announce a new integration between ClickHouse and Microsoft OneLake, powered by the OneLake Tables APIs and Apache Iceberg.

large_onelake_image0.png

medium_onelake_image0.png

small_onelake_image0.png

thumbnail_onelake_image0.png

onelake_image0.png

ClickHouse integrates with Microsoft OneLake Table APIs

“Cost has gone down, speed has gone up, and the scale of our customers has increased exponentially.”  Nir Barak, Principal Data Engineer

large_514462535-639d52d7-cbb4-46c2-8378-a1467a90dbec.png

medium_514462535-639d52d7-cbb4-46c2-8378-a1467a90dbec.png

small_514462535-639d52d7-cbb4-46c2-8378-a1467a90dbec.png

thumbnail_514462535-639d52d7-cbb4-46c2-8378-a1467a90dbec.png

514462535-639d52d7-cbb4-46c2-8378-a1467a90dbec.png

Scaling SaaS security: Reco’s migration from Postgres to ClickHouse Cloud

With community-standard instrumentation and the OTel Collector acting as a translation and routing engine, your metrics, logs, and traces are no longer trapped in a walled garden.

large_513357781-05c0a0a9-757d-4770-aab3-dd1766bf4d96.jpg

medium_513357781-05c0a0a9-757d-4770-aab3-dd1766bf4d96.jpg

small_513357781-05c0a0a9-757d-4770-aab3-dd1766bf4d96.jpg

thumbnail_513357781-05c0a0a9-757d-4770-aab3-dd1766bf4d96.jpg

513357781-05c0a0a9-757d-4770-aab3-dd1766bf4d96.jpg

Drinking the OTel SODA: Send Observability Data Anywhere

Learn more how we built StockHouse, a real-time financial analytics application with Massive, ClickHouse and Perspective that scales to thousands of events per second.

large_stockhouse-banner.jpg

medium_stockhouse-banner.jpg

small_stockhouse-banner.jpg

thumbnail_stockhouse-banner.jpg

stockhouse-banner.jpg

Building StockHouse: Real-time market analytics with ClickHouse

A look back at the evolution of the Postgres CDC connector in ClickHouse Cloud over its first year, following the 2024 PeerDB acquisition. 

Blog

Postgres CDC in ClickHouse, A year in review