KNIME vs Tableau AI Comparison in 2025

KNIME

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Discover KNIME, a free and open-source data analytics platform with modules for machine learning and data mining. Build and share insights with KNIME.

Tableau AI

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Tableau: See & understand your data with intuitive visual analytics. Transform complex data into clear insights for faster, confident decisions.

KNIME

Launched	2006-02
Pricing Model	Freemium
Starting Price
Tech used	Google Tag Manager,Netlify,Webpack,HSTS
Tag	Data Science,Data Integration,Data Visualization

Tableau AI

Launched	1996-06
Pricing Model	Paid
Starting Price
Tech used	Google Tag Manager,OneTrust,Gzip,OpenGraph,HSTS,Nginx
Tag	Data Visualization,Data Analysis

KNIME Rank/Visit

Global Rank	61033
Country	Germany
Month Visit	494154

Top 5 Countries

14.54%

9.5%

7.66%

5.16%

4.46%

Germany United States Singapore Brazil India

Traffic Sources

2.18%

0.75%

0.1%

7.46%

51.19%

38.32%

social paidReferrals mail referrals search direct

Tableau AI Rank/Visit

Global Rank	5362
Country	United States
Month Visit	7563902

Top 5 Countries

37.01%

13.06%

6.43%

5.03%

3.78%

United States Japan India United Kingdom Australia

Traffic Sources

0.7%

0.72%

0.11%

6.89%

34.81%

56.77%

social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing KNIME and Tableau AI, you can also consider the following products

Phidata - Phidata gives you production grade AI Apps with 1 command.

Insights AI - Get actionable insights from your data with Insights AI. Ask questions naturally, find hidden patterns, visualize findings, and make smarter business decisions.

ML Clever - ML Clever: No-code AI analytics for business teams. Instantly generate intelligent dashboards & build powerful predictive models for smarter decisions.

Knobi - Knobi's community solutions unlock value for you membersand superpowers for you community managers.

Dataiku - Build, deploy, and manage data and AI projects in one place with Dataiku. Accelerate time-to-impact and make data-driven decisions efficiently.