Skip to content
Navigation Menu
Sign in
Products
Platform
GitHub
Repository hosting, code review, and collaboration
Copilot
AI coding agent for tasks, projects and automated work
Build & Ship
Actions
CI/CD and automation
Code Quality
Quality analysis, fixes, and enforcement
Codespaces
Cloud development environments
Secure
Code Security
Vulnerability detection and remediation
Secret Protection
Secret scanning and leak prevention
All Features
Developers
Learn
Documentation
Training
Certifications
Build
Build with Copilot
Customize Copilot
Integrations
Explore
Trending repos
GitHub Sponsors
Developer articles
Changelog
Changelog
Your source for the latest features, improvements, and fixes across GitHub products, all in one place.
Businesses
By Stage
Enterprises
Team
Startups
Nonprofits
By Industry
Healthcare
Financial services
Manufacturing
Government
See all industries
Evaluate GitHub
Why GitHub
Customer Stories
Business insights
Trust Center
Add-ons
GitHub Advanced Security
Enterprise-grade code security
Copilot for business
Enterprise-grade AI features
Premium Support
Enterprise-grade 24/7 support
Resources
Learn & Connect
Documentation
Resource center
Blog
Events & webinars
Community Forum
Customer Stories
Integrations
Support
Customer support
Training
GitHub Status
Company
About
Partners
Changelog
GitHub Universe
GitHub Universe
The event for developers, by developers — talks, workshops, and what’s next for GitHub.
Pricing
Search
/
Sign in
Sign up
Appearance settings
You signed in with another tab or window.
Reload
to refresh your session.
You signed out in another tab or window.
Reload
to refresh your session.
You switched accounts on another tab or window.
Reload
to refresh your session.
Dismiss alert
{{ message }}
davidkhala
data-warehouse
Repository navigation
Code
Issues
4
(4)
Pull requests
Actions
Projects
Wiki
Security and quality
Insights
More
items
Clickhouse
Jump to bottom
David Liu edited this page
May 14, 2025
·
1 revision
Against Elasticsearch
Elasticsearch 数据量超过千万或者亿级时,若聚合的列数太多,性能也到达瓶颈
不支持深度二次聚合,导致一些复杂的聚合需求,需要人工编写代码在外部实现,这又增加很多开发工作量。
相同点:ClickHouse 与 Elasticsearch 一样,都采用列式存储结构,都支持副本分片
不同点:ClickHouse 独特实现
MergeTree 合并树表引擎,提供了数据分区、一级索引、二级索引。
Vector Engine 向量引擎,数据不仅仅按列存储,同时还按向量(列的一部分)进行处理,这样可以更加高效地使用 CPU
Wiki pages
Pages
16
Loading
Home
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Build
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Clickhouse
Loading
concept: Data Skew
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
concept: Operational Data Stores (ODS)
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
concept: schema
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
GreenPlum
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Netezza
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
push down predicate
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Reference
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Scylla
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
SelectDB
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Slowly Changing Dimension (SCD)
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
snowflake
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
StarRocks
Uh oh!
There was an error while loading.
Please reload this page
.
Loading
Teradata
Uh oh!
There was an error while loading.
Please reload this page
.
Show 1 more pages…
Clone this wiki locally
You can’t perform that action at this time.