Copy logo as SVG
Download full logo
Download logomark
Open search
Open region selector
English
Japanese
Open menu
Products
Products
ClickHouse Cloud
The best way to use ClickHouse.
Available on AWS, GCP, and Azure.
Bring Your Own Cloud
A fully managed ClickHouse service, deployed
in your own AWS, GCP, or Azure account.
Postgres managed by ClickHouse
Unified data stack for transactions
and analytics.
Managed ClickStack
Managed observability with high-performance
queries and long-term retention.
Langfuse Cloud
LLM observability and evaluations
for reliable AI applications and agents.
Open source
ClickHouse
Fast open-source OLAP database for
real-time analytics.
ClickStack
Open-source observability stack for logs,
metrics, traces, and session replays.
Agentic Data Stack
Build AI-powered applications
with ClickHouse.
chDB
In-process SQL Engine powered by
ClickHouse, with a Pandas-compatible API
Solutions
Use cases
Real-time analytics
Observability
Data warehousing
Machine learning and GenAI
All use cases
All use cases
->
->
Industries
Cybersecurity
Gaming and entertainment
E-commerce and retail
Automotive
Energy
All industries
All industries
->
->
Docs
Resources
User stories
Blog
Events
News
Learning and certification
Comparisons
Benchmark hub
BigQuery
PostgreSQL
Redshift
Snowflake
Elastic Observability
Splunk
OpenSearch
For observability
Videos
Demos
Pricing
Contact us
Open search
Open region selector
English
Japanese
46.5k
Sign in
Get started
Blog
Engineering
Smarter Auto-Scaling for ClickHouse: The Two-Window Approach
How ClickHouse Cloud's two-window recommender and target-tracking CPU algorithm cut scale-down latency from 30 hours to 3 hours while eliminating oscillations and reducing infrastructure costs.
Ashwath Singh and Manas Alekar
Mar 24, 2026 · 11 minutes read
View All
Product
Community
Engineering
User stories
Company and culture
Engineering
Building high-performance full-text search for object storage
User stories
Intelligent security at ClickHouse speed: How Cogent Security built an AI-native vulnerability management platform
Engineering
Querying DateTimes in ClickHouse
Community
March 2026 newsletter
Engineering
How ClickStack makes ClickHouse faster for observability
Product
Introducing AI observability notebooks for Managed ClickStack in Private Preview
User stories
How Socialpruf built a faster, more reliable data stack by replacing Neon with Postgres managed by ClickHouse
Product
AI is redrawing the database market
Product
Designing the new async-native ClickHouse Python client
Engineering
ClickHouse Release 26.2
Product
Unordered mode for GCS ClickPipes is now available
Engineering
Define once, use everywhere: a metrics layer for ClickHouse with MooseStack
Engineering
AI doesn’t always generate perfect ClickHouse schemas (yet)
Engineering
5 ways to parse Dates and DateTimes in ClickHouse
Engineering
What's new in ClickStack. February '26.
<-
Prev
1
2
3
4
…
46
Next
->
Follow us
X
Bluesky
Slack
GitHub
Telegram
Meetup
Rss