🆚 DNS Prefetch vs. Quicklink

Type

Performance optimization technology
Performance optimization technology

About

The rel="dns-prefetch" attribute on HTML <link> elements instructs web browsers to resolve domain names for external resources before those resources are requested.

It is commonly used for third-party domains serving scripts, fonts, analytics, advertisements, or media files, helping reduce DNS lookup latency and improve loading performance for external connections.

Quicklink is an open-source JavaScript library from the Google Chrome team that speeds up subsequent page loads by prefetching links likely to be visited next.

It automatically detects links visible in the viewport, waits until the browser is idle, skips slow or data-saver connections, supports both prefetching and prerendering, and provides controls for request priority, throttling, allowed origins, and ignored URLs.

Headquarters

Cambridge, Massachusetts, United States
Mountain View, California, United States

Website

Pricing

Free ✔️ Open source

Categories

Performance Optimization › Rank #2
Performance Optimization › Rank #27
Standards › Rank #6
JavaScript Libraries › Rank #199

Popularity

Determined by the number of sites using each technology.

DNS Prefetch performance optimization technology is 678 times more popular than Quicklink.
Total websites

Market share

Performance Optimization

Popularity by country

Determined by the number of sites detected from each country.

DNS Prefetch is more popular than Quicklink in all countries.
United States
United Kingdom
Japan
Germany
France
Spain
Italy
Australia
Netherlands
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

DNS Prefetch is more popular than Quicklink in all market segments.
Business
Marketing/Merchandising
Blogs/Wiki
Online Shopping
Education/Reference
Internet Services
Entertainment
Travel
Health
General News

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#1,025
#2,367
View more ➝

See also

🗃️ About This Data