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DingTalk
Management · 19.2M monthly visits

DingTalk is an all-in-one enterprise collaboration and management platform powered by AI. It integrates instant messaging, video conferencing, project management, and a full office suite with advanced AI capabilities like intelligent assistants, automated meeting summaries, and AI-powered data analysis. Designed for businesses of all sizes, it streamlines workflows, enhances productivity, and digitizes organizational operations from HR to finance.

VS
Feishu
Human Resources · 65M monthly visits

Feishu is an all-in-one enterprise collaboration and management platform powered by AI. It integrates instant messaging, video conferencing, collaborative docs, project management, and HR tools into a single, seamless experience. Designed for modern teams, Feishu enhances productivity, streamlines workflows, and leverages AI to provide smart summaries, knowledge Q&A, and business process automation, helping organizations achieve efficient growth.

DingTalk vs Feishu: pricing, features, traffic, and use cases

Compare DingTalk and Feishu across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 19, 2026

Product overview

DingTalk Product overview

DingTalk is an all-in-one enterprise collaboration and management platform powered by AI. It integrates instant messaging, video conferencing, project management, and a full office suite with advanced AI capabilities like intelligent assistants, automated meeting summaries, and AI-powered data analysis. Designed for businesses of all sizes, it streamlines workflows, enhances productivity, and digitizes organizational operations from HR to finance.

Preview

Feishu Product overview

Feishu is an all-in-one enterprise collaboration and management platform powered by AI. It integrates instant messaging, video conferencing, collaborative docs, project management, and HR tools into a single, seamless experience. Designed for modern teams, Feishu enhances productivity, streamlines workflows, and leverages AI to provide smart summaries, knowledge Q&A, and business process automation, helping organizations achieve efficient growth.

Preview

Detailed feature comparison

FeatureDingTalkFeishu
Primary categoryManagementHuman Resources
Added2025-08-102025-08-11
PricingFreemiumFreemium
Official websitewww.dingtalk.comwww.feishu.cn
Product typeAppWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits19.2M65M
Monthly growth-2.1%-2.7%
Favorites113132
DetailsView detailsView details

DingTalk vs Feishu monthly traffic

Compare DingTalk and Feishu by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the DingTalk vs Feishu monthly traffic comparison, DingTalk currently shows 19.2M visits and Feishu shows 65M; Feishu has about 3.4 times the visible traffic of DingTalk, an absolute difference of about 45.8M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

DingTalk monthly traffic:

Latest traffic

Monthly visits
19.2M
Avg. visit duration
7:44
Pages per visit
5.02
Bounce rate
33.01%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 19.7M Monthly visits
  • 2026/1: 19.1M Monthly visits
  • 2026/2: 13.1M Monthly visits
  • 2026/3: 22.6M Monthly visits
  • 2026/4: 19.6M Monthly visits
  • 2026/5: 19.2M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China94.5%18.2M
🇺🇸United States2.35%451.4K
🇭🇰Hong Kong1.68%322.7K
🇸🇬Singapore0.91%174.8K
🇹🇼Taiwan0.56%107.6K

Traffic sources

Source typePercentageTraffic
Direct89.67%17.2M
Referral10.1%1.9M
Email0.23%44.2K

Search keywords

dingding悟空钉钉钉钉文档钉钉网页版

Feishu monthly traffic:

Latest traffic

Monthly visits
65M
Avg. visit duration
9:24
Pages per visit
6.16
Bounce rate
34.19%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 59.9M Monthly visits
  • 2026/1: 60.8M Monthly visits
  • 2026/2: 46.7M Monthly visits
  • 2026/3: 74.5M Monthly visits
  • 2026/4: 66.8M Monthly visits
  • 2026/5: 65M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China89.36%58.1M
🇭🇰Hong Kong5.24%3.4M
🇸🇬Singapore2.5%1.6M
🇺🇸United States1.94%1.3M
🇹🇼Taiwan0.96%623.7K

Traffic sources

Source typePercentageTraffic
Direct93.27%60.6M
Referral6.44%4.2M
Email0.29%188.4K

Search keywords

feishu飞书飞书cli飞书开放平台飞书文档
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Feishu first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of DingTalk and Feishu

DingTalk Core features

Collaboration
Management
Team Chat

Feishu Core features

Collaboration
Human Resources
Project Management
Knowledge Management

Use cases

DingTalk Use cases

AI assistant
enterprise communication
HR management
project management
team collaboration
video conferencing
alibaba
low-code platform
office suite

Feishu Use cases

AI assistant
enterprise communication
HR management
project management
team collaboration
video conferencing
all-in-one workspace
ByteDance
document collaboration
no-code platform

DingTalk vs Feishu:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth DingTalk vs Feishu comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. DingTalk is primarily listed under “Management”, while Feishu is primarily listed under “Human Resources”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (DingTalk: Management; Feishu: Human Resources); Product type (DingTalk: App; Feishu: Website); Monthly visits (DingTalk: 19.2M; Feishu: 65M); Monthly growth (DingTalk: -2.1%; Feishu: -2.7%); Favorites (DingTalk: 113; Feishu: 132). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the DingTalk vs Feishu monthly traffic comparison, DingTalk currently shows 19.2M visits and Feishu shows 65M; Feishu has about 3.4 times the visible traffic of DingTalk, an absolute difference of about 45.8M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Feishu first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

DingTalk and Feishu currently overlap in shared categories: Collaboration; shared tags: AI assistant, enterprise communication, HR management, project management, team collaboration, and video conferencing. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

DingTalk's unique categories/tags are Management, Team Chat, alibaba, low-code platform, and office suite; Feishu's are Human Resources, Project Management, Knowledge Management, all-in-one workspace, ByteDance, document collaboration, and no-code platform. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

DingTalk has no verified rating, 0 comments, 113 favorites, and 121 likes;Feishu has no verified rating, 0 comments, 132 favorites, and 141 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate DingTalk first

Put DingTalk on the priority trial list when the task aligns with “Management” and especially Management, Team Chat, alibaba, low-code platform, and office suite. This follows recorded positioning and does not imply unlisted capabilities are absent.

DingTalk also currently records: pricing is freemium, product type is app, 19.2M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Feishu first

Put Feishu on the priority trial list when the task aligns with “Human Resources” and especially Human Resources, Project Management, Knowledge Management, all-in-one workspace, ByteDance, and document collaboration. This follows recorded positioning and does not imply unlisted capabilities are absent.

Feishu also currently records: pricing is freemium, product type is website, 65M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in DingTalk and Feishu, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between DingTalk and Feishu?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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