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Feishu Base
Data Analysis · 34.7K monthly visits

Feishu Base is an AI-powered no-code platform that combines the flexibility of a spreadsheet with the power of a database. It enables teams to build custom business systems, automate workflows, and analyze data through intuitive dashboards without writing any code. It's designed for seamless collaboration and data management.

VS
Slack
Project Management · 129.1M monthly visits

Slack is an AI-powered collaboration hub that connects your people, partners, and tools. It replaces email with faster, better-organized communication through channels. With integrated AI, workflow automation, and thousands of apps, Slack centralizes your work to boost productivity and streamline project management.

Feishu Base vs Slack: pricing, features, traffic, and use cases

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

Updated Aug 21, 2026

Product overview

Feishu Base Product overview

Feishu Base is an AI-powered no-code platform that combines the flexibility of a spreadsheet with the power of a database. It enables teams to build custom business systems, automate workflows, and analyze data through intuitive dashboards without writing any code. It's designed for seamless collaboration and data management.

Preview

Slack Product overview

Slack is an AI-powered collaboration hub that connects your people, partners, and tools. It replaces email with faster, better-organized communication through channels. With integrated AI, workflow automation, and thousands of apps, Slack centralizes your work to boost productivity and streamline project management.

Preview

Detailed feature comparison

FeatureFeishu BaseSlack
Primary categoryData AnalysisProject Management
Added2025-09-222025-09-17
PricingFreemiumFreemium
Official websitebase.feishu.cnslack.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits34.7K129.1M
Monthly growth-29.1%-5.1%
Favorites84115
DetailsView detailsView details

Feishu Base vs Slack monthly traffic

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

How to interpret the traffic data

In the Feishu Base vs Slack monthly traffic comparison, Feishu Base currently shows 34.7K visits and Slack shows 129.1M; Slack has about 3,723.5 times the visible traffic of Feishu Base, an absolute difference of about 129.1M 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.

Feishu Base monthly traffic:

Latest traffic

Monthly visits
34.7K
Avg. visit duration
1:23
Pages per visit
1.52
Bounce rate
75.99%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 362.6K Monthly visits
  • 2026/1: 58.9K Monthly visits
  • 2026/2: 40.8K Monthly visits
  • 2026/3: 78.5K Monthly visits
  • 2026/4: 48.9K Monthly visits
  • 2026/5: 34.7K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China91.53%31.7K
🇭🇰Hong Kong5.51%1.9K
🇺🇸United States1.64%569
🇹🇼Taiwan0.67%232
🇸🇬Singapore0.65%225

Traffic sources

Source typePercentageTraffic
Referral53.66%18.6K
Direct46.34%16.1K

Search keywords

多维表格多维表格会员项目排期表飞书在线表飞书多维表格

Slack monthly traffic:

Latest traffic

Monthly visits
129.1M
Avg. visit duration
15:45
Pages per visit
8.23
Bounce rate
28.2%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 133.2M Monthly visits
  • 2026/1: 127M Monthly visits
  • 2026/2: 122.4M Monthly visits
  • 2026/3: 139M Monthly visits
  • 2026/4: 136.1M Monthly visits
  • 2026/5: 129.1M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States50.24%64.9M
🇯🇵Japan31.8%41.1M
🇮🇳India8.46%10.9M
🇬🇧United Kingdom5.07%6.5M
🇵🇭Philippines4.43%5.7M

Traffic sources

Source typePercentageTraffic
Direct92.92%120M
Referral3.9%5M
Email3.18%4.1M

Search keywords

슬랙slackslack downloadslack loginスラック
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Slack 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 Feishu Base and Slack

Feishu Base Core features

Project Management
Data Analysis
Database
No Code

Slack Core features

Project Management
Team Chat
Collaboration

Use cases

Feishu Base Use cases

collaboration
project management
AI
automation
business intelligence
business system
CRM
database
data visualization
Feishu
Lark
no-code
spreadsheet

Slack Use cases

collaboration
project management
AI assistant
business messaging
enterprise software
integration
knowledge management
productivity
remote work
team communication
workflow automation

Best suited roles

Feishu Base Best suited roles

Data Analyst
HR Manager
Marketing Manager
Product Manager
Project Manager
Sales Representative
Business Owner
Content Creator
Operations Manager
R&D Manager

Slack Best suited roles

Data Analyst
HR Manager
Marketing Manager
Product Manager
Project Manager
Sales Representative
Customer Support
Graphic Designer
Software Developer
Team Lead

Feishu Base vs Slack:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

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

The structured fields currently show these decision-relevant differences: Primary category (Feishu Base: Data Analysis; Slack: Project Management); Monthly visits (Feishu Base: 34.7K; Slack: 129.1M); Monthly growth (Feishu Base: -29.1%; Slack: -5.1%); Favorites (Feishu Base: 84; Slack: 115); Website (Feishu Base: base.feishu.cn; Slack: slack.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Feishu Base vs Slack monthly traffic comparison, Feishu Base currently shows 34.7K visits and Slack shows 129.1M; Slack has about 3,723.5 times the visible traffic of Feishu Base, an absolute difference of about 129.1M 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 Slack 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

Feishu Base and Slack currently overlap in shared categories: Project Management; shared tags: collaboration and project management; shared roles: Data Analyst, HR Manager, Marketing Manager, Product Manager, Project Manager, and Sales Representative. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Feishu Base's unique categories/tags are Data Analysis, Database, No Code, AI, automation, business intelligence, business system, and CRM; Slack's are Team Chat, Collaboration, AI assistant, business messaging, enterprise software, integration, knowledge management, and productivity. 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

Feishu Base has no verified rating, 0 comments, 84 favorites, and 90 likes;Slack has no verified rating, 0 comments, 115 favorites, and 105 likes。

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

Selection guidance by actual need

When to evaluate Feishu Base first

Put Feishu Base on the priority trial list when the task aligns with “Data Analysis” and especially Data Analysis, Database, No Code, AI, automation, and business intelligence, or the users include Business Owner, Content Creator, Operations Manager, and R&D Manager. This follows recorded positioning and does not imply unlisted capabilities are absent.

Feishu Base also currently records: pricing is freemium, product type is website, 34.7K 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 Slack first

Put Slack on the priority trial list when the task aligns with “Project Management” and especially Team Chat, Collaboration, AI assistant, business messaging, enterprise software, and integration, or the users include Customer Support, Graphic Designer, Software Developer, and Team Lead. This follows recorded positioning and does not imply unlisted capabilities are absent.

Slack also currently records: pricing is freemium, product type is website, 129.1M 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 Feishu Base and Slack, 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 Feishu Base and Slack?
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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