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
46.3k
Sign in
Get started
Blog
Engineering
Define once, use everywhere: a metrics layer for ClickHouse with MooseStack
This post shows a lightweight metrics layer for ClickHouse using MooseStack, an open source developer agent harness for ClickHouse.
Fiveonefour and Nakul Mishra (AWS)
Mar 13, 2026 · 11 minutes read
View All
Product
Community
Engineering
User stories
Company and culture
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.
Engineering
GitTrends: A Google Trends style view of the GitHub ecosystem
Engineering
Using ClickHouse as a webhook endpoint with HMAC verification
Engineering
Clone massive tables instantly and experiment safely in ClickHouse
Engineering
Getting started with ClickHouse? 13 mistakes and how to avoid them
Engineering
Making large Postgres migrations practical: 1TB in 2 hours with PeerDB
Engineering
AI-powered migrations from Postgres to ClickHouse
Engineering
pg_stat_ch: a PostgreSQL extension that exports every metric to ClickHouse
Engineering
Is it over for metrics?
Engineering
What's new in ClickStack. January '26.
Engineering
ClickHouse Release 26.1
Engineering
ClickPy at 2 Trillion rows: Scaling ingestion and fixing the past
Engineering
How ClickHouse makes Top-N queries faster with granule-level data skipping
<-
Prev
1
2
3
4
…
19
Next
->
Follow us
X
Bluesky
Slack
GitHub
Telegram
Meetup
Rss
