DataSet Platform vs Tableau Enterprise comparison

DataSet and Salesforce are both solutions in the Data Visualization category. DataSet is ranked #65, while Salesforce is ranked #1 with an average rating of 8.3. DataSet holds a 0.1% mindshare in DV, compared to Salesforce’s 20.6% mindshare. Additionally, 89% of Salesforce users are willing to recommend the solution.

DataSet Platform

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36 Comparison Views

Tableau Enterprise

Read 307 Tableau Enterprise reviews

19,755 Views
5,927 Comparison Views

89% willing to recommend

DataSet Platform

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 4, 2025

Tableau Enterprise and DataSet Platform are products in the analytics and data visualization domain. DataSet Platform seems to have the upper hand with feature-rich capabilities, whereas Tableau Enterprise is advantageous in deployment ease and cost management.

Features:Tableau Enterprise provides advanced analytics, real-time data updates, and easy integration with multiple data sources. DataSet Platform offers machine learning integration, real-time collaboration, and scalable architecture.

Ease of Deployment and Customer Service:Tableau Enterprise supports straightforward cloud and on-premise deployment with comprehensive support channels. DataSet Platform provides a flexible deployment model with cloud-native solutions and personalized customer service.

Pricing and ROI:Tableau Enterprise features competitive pricing with a clear structure, focusing on long-term value and lower total cost of ownership. DataSet Platform follows a premium pricing strategy due to its extensive feature set and technology, with an ROI justified by advanced features.

To learn more, read our detailed Data Visualization Report (Updated: August 2025).

Buyer's Guide

Data Visualization

August 2025

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Helped 868,275 peers since 2012

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

DataSet Platform

Ranking in Data Visualization

65th

Average Rating

0.0

Number of Reviews

Ranking in other categories

Log Management (69th)

Tableau Enterprise

Ranking in Data Visualization

1st

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

307

Ranking in other categories

BI (Business Intelligence) Tools (2nd), Reporting (2nd), Embedded BI (1st)

Mindshare comparison

As of September 2025, in the Data Visualization category, the mindshare of DataSet Platform is 0.1%, up from 0.0% compared to the previous year. The mindshare of Tableau Enterprise is 20.6%, down from 30.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	20.6%
DataSet Platform	0.1%
Other	79.3%

Data Visualization

Featured Reviews

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Uzair Faruqi

Head Of Analytics at Mjunction Services

Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization

Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

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Comparison Review

it_user6330

Product Manager at a retailer with 10,001+ employees

May 2, 2013

MicroStrategy vs. Tableau

After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	117
Midsize Enterprise	66
Large Enterprise	182

Questions from the Community

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Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...

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Tableau vs. Business Objects - Which is a better solution for visualization and analysis?

Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...

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Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

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Comparisons

No data available

Microsoft Power BI vs Tableau Enterprise

Compared 19% of the time

Domo vs Tableau Enterprise

Compared 10% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 6% of the time

Databricks vs Tableau Enterprise

Compared 5% of the time

SAP Analytics Cloud vs Tableau Enterprise

Compared 4% of the time

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Product Reports

Buyer's Guide

Log Management

August 2025

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Buyer's Guide

Tableau Enterprise

September 2025

Download Tableau Enterprise product report

Also Known As

Scalyr

Tableau Desktop, Tableau Server, Tableau Online

Overview

The DataSet Platform excels in data analysis, machine learning, data integration, and visualization, enhancing organizational efficiency and decision-making. Valued for its seamless data merging, intuitive visualization tools, high computational power, and user-friendly interface, it supports diverse industry needs, streamlining processes and boosting productivity.

DataSet

Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.

Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.

What are the most valuable features?

Interactive Visualizations: Enables users to create engaging reports.
Drag-and-Drop Functionality: Simplifies data analysis processes.
Data Integration: Offers seamless connectivity with multiple sources.
Real-Time Collaboration: Supports synchronous data sharing.
Advanced Analytics: Provides predictive analytics and geospatial analysis.

What benefits and ROI should users look for?

Informed Decision-Making: Facilitates data-driven insights.
Efficiency in Reporting: Streamlines dashboard and reporting tasks.
Cost-Effectiveness: Despite high licensing, value in robust analytics tools.
Customizable Options: Tailors analytics to specific needs.

Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.

Salesforce

Sample Customers

CareerBuilder, ReturnPath, Grab, FanTV, Zalando, NBC Universal, Giphy, TiVo, OkCupid, Business Insider, WaveFront, Baidu

Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.

Find out what your peers are saying about Salesforce, Apache, Splunk and others in Data Visualization. Updated: August 2025.

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