Digital.ai Intelligence vs Tableau Enterprise comparison

Digital.ai and Salesforce are both solutions in the BI (Business Intelligence) Tools category. Digital.ai is ranked #59, while Salesforce is ranked #2 with an average rating of 8.3. Digital.ai holds a 0.5% mindshare in BIT, compared to Salesforce’s 7.6% mindshare. Additionally, 90% of Salesforce users are willing to recommend the solution.

Digital.ai Intelligence

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312 Comparison Views

Tableau Enterprise

Read 309 Tableau Enterprise reviews

18,097 Views
11,220 Comparison Views

90% willing to recommend

Digital.ai Intelligence

Tableau Enterprise

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Executive SummaryUpdated on Nov 9, 2025

Tableau Enterprise and Digital.ai Intelligence compete in the data analysis and visualization category. Tableau Enterprise may have the upper hand in data integration and visualization, while Digital.ai Intelligence is stronger in predictive analytics and automation.

Features: Tableau Enterprise supports robust data connectivity, visualization, and intuitive analytics. It facilitates comprehensive data exploration and detailed visuals, making it valuable for users focused on data representation. Digital.ai Intelligence focuses on predictive analytics and advanced automation, improving forecasting and process efficiency.

Ease of Deployment and Customer Service: Tableau Enterprise is recognized for straightforward installation and accessible customer service, enhancing deployment ease for organizations. Digital.ai Intelligence offers extensive customer support despite a more intricate deployment process, assisting users in managing its complex predictive suite.

Pricing and ROI: Tableau Enterprise is known for cost-effective pricing and a quick ROI, offering value through accessible costs. Digital.ai Intelligence requires a higher initial investment but promises substantial long-term ROI due to its advanced predictive features, justifying initial expenses for businesses targeting deep insights.

To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: November 2025).

Buyer's Guide

BI (Business Intelligence) Tools

November 2025

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Helped 879,310 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

Digital.ai Intelligence

Ranking in BI (Business Intelligence) Tools

59th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Tableau Enterprise

Ranking in BI (Business Intelligence) Tools

2nd

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

309

Ranking in other categories

Reporting (2nd), Data Visualization (1st), Embedded BI (1st)

Mindshare comparison

As of December 2025, in the BI (Business Intelligence) Tools category, the mindshare of Digital.ai Intelligence is 0.5%, up from 0.1% compared to the previous year. The mindshare of Tableau Enterprise is 7.6%, down from 19.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	7.6%
Digital.ai Intelligence	0.5%
Other	91.9%

BI (Business Intelligence) Tools

Featured Reviews

Use Digital.ai Intelligence?

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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

14%

Computer Software Company

11%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	117
Midsize Enterprise	67
Large Enterprise	184

Questions from the Community

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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

Oracle Analytics Cloud vs Digital.ai Intelligence

Compared 100% of the time

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Compared 19% of the time

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Compared 10% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 4% of the time

Databricks vs Tableau Enterprise

Compared 4% of the time

Julius AI vs Tableau Enterprise

Compared 3% of the time

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Product Reports

Buyer's Guide

BI (Business Intelligence) Tools

November 2025

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Buyer's Guide

Tableau Enterprise

December 2025

Download Tableau Enterprise product report

Also Known As

Numerify

Tableau Desktop, Tableau Server, Tableau Online

Overview

Numerify contains a suite of specialized IT applications powered by an underlying analytical platform. Much like your typical mobile app, each analytical application focuses on a specific business area of IT - including service, asset, and project management.

Digital.ai

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

Rambus, Google for Work, USF, Red Bull, Spansion, Netflix, Pgi

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.

Buyer's Guide

BI (Business Intelligence) Tools

November 2025

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