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Mode Enterprise vs Yellowfin comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 2, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Mode Enterprise
Ranking in BI (Business Intelligence) Tools
29th
Average Rating
7.4
Reviews Sentiment
4.8
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Yellowfin
Ranking in BI (Business Intelligence) Tools
35th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
Reporting (22nd), Data Visualization (24th), Embedded BI (13th)
 

Mindshare comparison

As of January 2026, in the BI (Business Intelligence) Tools category, the mindshare of Mode Enterprise is 0.9%, up from 0.4% compared to the previous year. The mindshare of Yellowfin is 0.8%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Mode Enterprise0.9%
Yellowfin0.8%
Other98.3%
BI (Business Intelligence) Tools
 

Featured Reviews

Shivkumar Targude - PeerSpot reviewer
Senior Software Engineer at a tech services company with 1,001-5,000 employees
Custom cohort dashboards have transformed customer tracking but still need richer built‑in visuals
From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams. For specific visualizations, we currently need to use Python and JavaScript combinations to create great visualizations such as cohort analysis. If these visualizations were added by default to Mode Enterprise, it would be beneficial for all of us. There are common visualizations that are not currently in Mode Enterprise but should be added. There are advantages and disadvantages to the current state. The advantages mainly include the ability to combine all datasets, which definitely reduces time. Because Python and JavaScript are supported, we can develop cohort dashboards, which many other BI tools do not support. Mode Enterprise supports cohort dashboards, which is a significant advantage.
AC
‎IS Executive at SAINS
It is a central source of up-to-date data and information, but needs more charting capabilities
Management information Reporting Statistics Data analysis It reduces sending copies of different report/spreadsheet versions over email, which makes it difficult to access the right report. It is also able to create information dashboards for various users' throughout.  All management…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution is simple for people from a viewing perspective, not a coding perspective."
"I have used many other BI tools, but when I compare other BI tools with Mode Enterprise, I find it more interesting because it supports Amazon Redshift and cloud-related technology as well as some static-related technology, and it also supports customization through coding with JavaScript and Python."
"The most valuable feature I would say is the flexibility in editing."
"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."
"The most important feature of the solution is the ability to run Python-based scripts."
"The tool helps to catch results and review them."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is a central source of up-to-date data and information."
"It is able to create information dashboards for various users' throughout."
 

Cons

"Mode Analytics needs to improve the overall user experience."
"From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams."
"Mode Enterprise can be improved by reducing the cost, as I think the enterprise version is much costlier."
"I think in terms of User Interface, I would say it can be better."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
"The solution could run faster."
"It needs more presentation/charting capabilities and integration with GIS."
 

Pricing and Cost Advice

"My decision-maker found the pricing expensive, but it is okay for me."
"The pricing is per user."
"Mode Analytics is cheap compared to other tools."
Information not available
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Top Industries

By visitors reading reviews
Media Company
13%
Manufacturing Company
11%
Computer Software Company
10%
Insurance Company
7%
Educational Organization
16%
Financial Services Firm
11%
Healthcare Company
11%
Transportation Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Mode Analytics?
From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams. For specific visualizations, we currently need to use Python a...
What is your primary use case for Mode Analytics?
Mode Enterprise is being used for dashboard purposes only, specifically for custom dashboards. For the e-commerce domain, we use Mode Enterprise to track customers, such as finding out a customer's...
What advice do you have for others considering Mode Analytics?
Regarding licensing, I cannot provide detailed information on that topic. However, I can say that Power BI is open-source. If Mode Enterprise were provided as open-source, more people could start u...
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Comparisons

 

Overview

 

Sample Customers

Lyft, Zenefits, Twitch, Trello, Clover, Grovo, CrowdFlower, Segment, Everlane, Pocket, Highfive
NCS, Universitat Konstanz, AT&T, PG&E, SingTel, InternetStores
Find out what your peers are saying about Mode Enterprise vs. Yellowfin and other solutions. Updated: December 2025.
880,954 professionals have used our research since 2012.