ClickHouse
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ClickHouse
@clickhouse.com
ClickHouse is the fastest open-source OLAP database ⚡

Download: http://clickhouse.com
GitHub: http://clickhou.se/GitHub
Slack: http://clickhouse.com/slack
Shout out to Todd Stoffel for this independent analytics benchmark 👏

While we love seeing ClickHouse top the charts, benchmarks always leave us with one thought: could we be even faster?

clickhou.se/4oEQktn
October 30, 2025 at 4:02 PM
AI demands more than what traditional databases can deliver. Faster ingestion, sub-second queries, and cost efficiency at massive scale. It's no wonder the world's leading AI companies use ClickHouse.

If you're in SF, you can spot our billboards around the city and on the 101! 👀
September 12, 2025 at 2:21 PM
Get ready for House Party: The SQL 🕺 🪩

The Chainsmokers are back for round two on Dec 2 in Vegas. This is where database engineers become dance floor legends!

Sign up to save the date and get notified the moment registration opens.

clickhouse.com/company/even...
August 18, 2025 at 4:06 PM
ClickHouse Release 25.5 is published!

Presentation: presentations.clickhouse.com/2025-release...
Video: www.youtube.com/live/wxicecq...
Changelog: github.com/ClickHouse/C...
May 26, 2025 at 4:06 AM
Maruth Goyal joins the Open House speaker lineup to share how Anthropic leverages ClickHouse to improve observability. 🔍

See you in San Francisco next week! clickhouse.com/openhouse
May 22, 2025 at 6:11 PM
Live next week at Open House 🎙️ Hear how the OpenAI observability team scaled ClickHouse as ChatGPT adoption, and log volume, skyrocketed.

Register at clickhouse.com/openhouse
May 20, 2025 at 8:35 PM
Parquet powers Iceberg and Delta Lake.
ClickHouse powers lightning-fast queries on Parquet.
This post takes you deep inside the query engine to show how it works, and why that makes ClickHouse a formidable Lakehouse engine.
buff.ly/ZUE8C73
May 7, 2025 at 3:03 PM
Lyft is set to speak at Open House on May 29th 🙌 Hear first-hand how Lyft leverages ClickHouse for near real-time and sub-second analytics enabling swift decision-making.

Register to hear their talk at Open House: clickhouse.com/openhouse
May 6, 2025 at 4:01 PM
With a whopping 150 TB of logs generated monthly, find out how Clever leverages ClickHouse to supercharge their observability. Join us tomorrow for a live Q&A with the Clever engineers behind the observability engine. Bring your questions!

Register at clickhouse.com/company/even...
May 5, 2025 at 3:22 PM
🏎️ What’s better than a fast database? A lazy one.
ClickHouse’s new lazy materialization feature delays work until it’s absolutely needed, slashing runtimes by over 1,200×.
Curious yet? Read the deep dive here → buff.ly/9CiK99o
April 22, 2025 at 2:02 PM
What if you could consolidate over 40 observability tools into a streamlined, cost-effective solution? Dale Frohman from CVS Health will share how his team leveraged ClickHouse to handle their data at over 10 petabyte scale. 🔥

Join Dale’s session at Open House: clickhouse.com/openhouse
April 17, 2025 at 8:14 PM
Presented the ADS-B visualizer adsb.exposed at the AWS summit in Amsterdam (a short 15-minute version)

Full talk here: www.youtube.com/watch?v=35wp...
April 16, 2025 at 1:46 PM
Interesting facts about the Ruby ecosystem. It continues to grow linearly. While the growth of new packages slows down. This is behind the Python ecosystem, which still has exponential growth. For both Python and Ruby the most downloaded packages are for AWS SDK. clickhouse.com/blog/announc...
April 15, 2025 at 4:58 PM
We celebrate 40k+ stars on GitHub with some of the features that have driven those stars.

We enjoy it when big numbers get bigger and query times get smaller. Thanks to our community and contributors!
April 9, 2025 at 11:33 AM
As AI and ML workloads explode, data requirements are evolving quickly. Hear from leadership at OpenAI, Andreessen Horowitz, and ClickHouse on the future of data infrastructure for AI at scale. 🚀

Don't miss this fireside chat at Open House on 5/29 in San Francisco! clickhouse.com/openhouse
April 3, 2025 at 6:20 PM
Never scan the same data twice! ClickHouse's new Query Condition Cache quietly supercharges performance for repeated queries—perfect for dashboards and observability.

buff.ly/TJE0Pi3

100MB of cache covers up to 6.8T rows, enhancing efficiency without extra tuning.
April 1, 2025 at 3:03 PM
We're excited to be named to the 2025 Enterprise Tech 30 by Wing VC and Eric Newcomer! #ET30

See the full list at www.enterprisetech30.com
March 25, 2025 at 2:17 PM
💡 What if I told you… ClickHouse queries over 4B+ JSON docs could run under 100ms—no matter how much data grows—on modest hardware?

buff.ly/J6vQ6pz

No magic. Just proven techniques to keep queries blazing fast.
📊 Test it live. Every query runs on real data.
March 19, 2025 at 5:00 PM
🥚🐰 Another Easter egg just dropped! And this one is all about speed. 🚀
buff.ly/OJ6bw6h
We’ve revamped our “Why is ClickHouse so fast?” page—a simple, lightweight breakdown of what makes ClickHouse lightning-fast ⚡️.
March 14, 2025 at 6:00 PM
Why attend Open House on May 28-29? 🤔

1️⃣ Hear about the future of real-time analytics directly from ClickHouse founders and leadership.
2️⃣ Connect with the ClickHouse community IRL.
3️⃣ Get face-time with ClickHouse engineers in a dedicated AMA area.
4️⃣ It's free!

Register at clickhouse.com/openhouse
March 14, 2025 at 4:26 PM
🌸 Spring is here, Easter is around the corner… and we’ve got a ClickHouse surprise for you! 🐣
buff.ly/vyphfkT
No egg hunt needed—our VLDB 2024 research paper is now live in a sleek, convenient web version! 🚀
March 13, 2025 at 6:00 PM
Data formats matchup: clickhouse.com/blog/clickho...
February 26, 2025 at 6:07 PM
A Big Data Revolution in Zagreb www.sofascore.com/news/sofasco...
February 7, 2025 at 2:37 PM
We’ve benchmarked JSON implementations of five popular data stores with JSON support:
• ClickHouse 🚀
• MongoDB 🐌🐌🐌🐌🐌
• Elasticsearch 🐌
• DuckDB 🐌🐌🐌🐌🐌
• PostgreSQL 🐌🐌🐌🐌🐌🐌🐌🐌🐌🐌
And you can put your own data store to the test: https://jsonbench.com
January 30, 2025 at 4:00 PM
Updated h2o benchmark: duckdblabs.github.io/db-benchmark/, which compares embedded databases and libraries on small-scale data processing.
January 20, 2025 at 2:42 PM