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Salesforce.com Inc

Tableau

Composite Score

8.8 /10

CX Score

9.0 /10

316 Reviews Write a Review

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What is Tableau?

Tableau is a visual analytics platform transforming the way we use data to solve problems—empowering people and organizations to make the most of their data. From connection through collaboration, Tableau is a powerful, secure, and flexible end-to-end analytics platform.

Company Details

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Awards & Recognition

Tableau won the following awards in the Business Intelligence & Analytics - Enterprise category

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2026 Data Quadrant Champion

Latest Award, 2026

7 Top Rated Capabilities

15 Top Rated Features

Latest Award, 2026

2025 Emotional Footprint Champion

2025

2025 Data Quadrant Champion

2025

6 Top Rated Capabilities

12 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

8 Top Rated Capabilities

10 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Product Impact

2023

2023 Data Quadrant Champion

2023

10 Top Rated Capabilities

13 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact

2022

2022 Data Quadrant Champion

2022

10 Top Rated Capabilities

10 Top Rated Features

2022

Tableau Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Tableau.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

1
Since last award

96 Plan to Renew

2
Since last award

82 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+90 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Tableau?

2% Negative

5% Neutral

93% Positive

Pros

Helps Innovate
Reliable
Fair
Efficient Service

Feature Ratings

Average 83

Dashboard

Data Exploration and Visualization

Real-Time Visualization

Data Connectors and Data Mashup

Advanced Analytics and Data Science

Collaboration

Operational Reporting Capabilities

Spatial Analysis

Data Modelling Tools

Metadata Management

BI Security

Vendor Capability Ratings

Average 81

Business Value Created

Breadth of Features

Ease of Data Integration

Ease of Implementation

Usability and Intuitiveness

Quality of Features

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.9

View Tableau in this category (opens in a new tab)

Tableau Reviews

Role: Operations
Industry: Manufacturing
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Mar 2025

Powerful visual analytics

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Ronak G.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2025

Overview of Tableau

Likeliness to Recommend

9 /10

What differentiates Tableau from other similar products?

Connects to multiple data sources easily.

What is your favorite aspect of this product?

Easy data blending and integration.

What do you dislike most about this product?

Expensive for small businesses.

What recommendations would you give to someone considering this product?

Best for users who work with diverse data sources.

Pros

Continually Improving Product
Enables Productivity
Unique Features
Caring

Sushil P.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2025

Powerful and Intuitive Data Visualization

Likeliness to Recommend

9 /10

What differentiates Tableau from other similar products?

Tableau stands out with its powerful data visualization, user-friendly drag-and-drop interface, robust AI-driven analytics, and seamless integration with multiple data sources, making it ideal for both technical and non-technical users.

What is your favorite aspect of this product?

Its intuitive drag-and-drop interface and powerful data visualization capabilities make it easy to explore and present insights without deep technical expertise.

What do you dislike most about this product?

Tableau can be resource-intensive, leading to slower performance when handling very large datasets or complex visualizations.

What recommendations would you give to someone considering this product?

Ensure your budget aligns with Tableau's licensing costs, invest in training to maximize its capabilities, and consider integrating it with a data preparation tool for smoother data handling.

Pros

Helps Innovate
Enables Productivity
Trustworthy
Unique Features

Tableau

What is Tableau?

Company Details

Book a Free Demo Today!

Awards & Recognition

2026 Data Quadrant Champion

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

Tableau Ratings

88 Likeliness to Recommend

1 Since last award

96 Plan to Renew

2 Since last award

82 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love Tableau?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Real-Time Visualization Ability to analyze and visualize data as soon as it becomes available via data-streaming pipelines.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Advanced Analytics and Data Science Techniques including predictive, data and text mining, machine learning, forecasting, what-if analysis, sentiment analysis etc.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Operational Reporting Capabilities Real-time detailed reporting to support operational business processes.

Spatial Analysis Ability to natively visualize and analyze spatial data out of the box tied to postcode, zipcode or spacial co-ordinates.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

BI Security Data access control management, including access permissions management, user authentication and enforcement of access permissions via technology.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Also Featured in...

Business Intelligence & Analytics - Midmarket

Tableau Reviews

Powerful visual analytics

Likeliness to Recommend

Pros

Ronak G.

Overview of Tableau

Likeliness to Recommend

Pros

Sushil P.

Powerful and Intuitive Data Visualization

Likeliness to Recommend

Pros

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Feature Ratings

Dashboard

Data Exploration and Visualization

Real-Time Visualization

Data Connectors and Data Mashup

Advanced Analytics and Data Science

Collaboration

Operational Reporting Capabilities

Spatial Analysis

Data Modelling Tools

Metadata Management

BI Security

Vendor Capability Ratings

Business Value Created

Breadth of Features

Ease of Data Integration

Ease of Implementation

Usability and Intuitiveness

Quality of Features

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support