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Tableau

bySalesforce (Tableau)
in
4.4
2026
Market Presence: Analytics and Business Intelligence Platforms, Data Preparation Tools

Overview

Product Information on Tableau

Updated 13th October 2025

What is Tableau?

Tableau is a software designed for data visualization and business intelligence that enables users to connect, analyze, and share data insights from various sources. It provides features such as interactive dashboards, drag and drop analytics, and integration with spreadsheet, cloud, and relational databases. The software helps organizations transform raw data into visual representations including charts, graphs, and maps, allowing for the identification of patterns, trends, and outliers. Tableau addresses business challenges related to data analysis and reporting by simplifying the process of extracting actionable insights and supporting informed decision-making across different functional areas.

Tableau Pricing

Tableau software uses a subscription-based pricing model with different tiers depending on deployment options such as cloud or on-premises and user type, including Creator, Explorer, and Viewer roles. The pricing structure typically varies according to the number of users and the level of access to features, with annual or monthly payment options available.

Overall experience with Tableau

Sdet
30B + USD, Banking
FAVORABLE

“Licensing, Architecture, and Security Present Challenges for Large-Scale Tableau Embedding”

5.0
Feb 18, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Data Analyst
50M - 250M USD, Software
CRITICAL

“Attractive visualizations limited by slow external database connections”

3.0
Jul 14, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2026
For Market:
Agentic Analytics

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 6th March 2025

Salesforce is a company that integrates artificial intelligence with customer relationship management and data to create solutions for customer-related concerns. Salesforce's primary business problem is to enhance the interaction between businesses and their customers by leveraging technology.

Company Details

Updated 2nd November 2023
Company type
Public
Year Founded
1999
Head office location
San Francisco, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.salesforce.com

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Peer Discussions

Tableau Reviews and Ratings

4.4

(4762 Ratings)

Rating Distribution

5 Star
42%
4 Star
51%
3 Star
6%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Data Analyst
    50M-1B USD
    Software
    Review Source

    Attractive visualizations limited by slow external database connections

    3.0
    Jul 14, 2026
    Tableau was really cool 10 years ago when they went to market with a product that was really easy to use (drag-and-drop fields to easily create reports) and very shiny charts and chart types. However, after the salesforce acquisition the product got in a stall mode, probably due to all the internal chaos that such an acquisition means. When you need to do something more meaningful you would need to get into calculated attributes, lots of them and the many settings that you can use to create reports and dashboards. At one company I consulted for, I saw so many amazing dashboards that I can only imagine took months to develop. One thing that I have always criticized about Tableau is that the reports are really nice and shiny as long as your data is not big, but as soon as you start working with bigger data than 10MBs speed is an issue, in refreshing reports, updating them, and then you have to get into things like Extracts which are quicker but then you have to manage them. Connectors to other DBs are mostly all very slow if you have a lot of data. There is no direct connection, it is always via JDBC or ODBC which by nature is slow. For Dashboards there is no function to refresh dashboards automatically, which makes the case for real time dashboards practically unusable or you have to go and use external plugins which could also be a problem in my mind. Tableau Server is a good product but it requires a lot of resources, a small server wont do, that for me is a disadvantage.
  • Data Analyst
    50M-1B USD
    Software
    Review Source

    Attractive visualizations limited by slow external database connections

    3.0
    Jul 14, 2026
    Tableau was really cool 10 years ago when they went to market with a product that was really easy to use (drag-and-drop fields to easily create reports) and very shiny charts and chart types. However, after the salesforce acquisition the product got in a stall mode, probably due to all the internal chaos that such an acquisition means. When you need to do something more meaningful you would need to get into calculated attributes, lots of them and the many settings that you can use to create reports and dashboards. At one company I consulted for, I saw so many amazing dashboards that I can only imagine took months to develop. One thing that I have always criticized about Tableau is that the reports are really nice and shiny as long as your data is not big, but as soon as you start working with bigger data than 10MBs speed is an issue, in refreshing reports, updating them, and then you have to get into things like Extracts which are quicker but then you have to manage them. Connectors to other DBs are mostly all very slow if you have a lot of data. There is no direct connection, it is always via JDBC or ODBC which by nature is slow. For Dashboards there is no function to refresh dashboards automatically, which makes the case for real time dashboards practically unusable or you have to go and use external plugins which could also be a problem in my mind. Tableau Server is a good product but it requires a lot of resources, a small server wont do, that for me is a disadvantage.
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User Sentiment About Tableau
Reviewer Insights for: Tableau
Deciding Factors: Tableau Vs. Market Average
Performance of Tableau Across Market Features

Tableau Likes & Dislikes

Like

The strongest aspect of Tableau is its intuitive visualization layer combined with powerful data connectivity. The platform makes it easy to build rich dashboards that can be embedded into applications , portals and internal platforms. Key strengths include: highly interactive and visually rich dashboards, strong embedded analytics capabilities via APIs and embedding frameworks. Low-code approach for building dashboards and data models. Wide range of connectors to databases and cloud data platforms. Strong support for self-service analytics and data exploration. Ability to blend multiple data sources without heavy engineering effort. From a data science perspective , Tableau supports quick exploration and visualization of data sets , helping teams validate insights and communicate findings effectively.

Like

The strongest aspect of Tableau is its intuitive visualization layer combined with powerful data connectivity. The platform makes it easy to build rich dashboards that can be embedded into applications , portals and internal platforms. Key strengths include: highly interactive and visually rich dashboards, strong embedded analytics capabilities via APIs and embedding frameworks. Low-code approach for building dashboards and data models. Wide range of connectors to databases and cloud data platforms. Strong support for self-service analytics and data exploration. Ability to blend multiple data sources without heavy engineering effort. From a data science perspective , Tableau supports quick exploration and visualization of data sets , helping teams validate insights and communicate findings effectively.

Like

The strongest aspect of Tableau is its intuitive visualization layer combined with powerful data connectivity. The platform makes it easy to build rich dashboards that can be embedded into applications , portals and internal platforms. Key strengths include: highly interactive and visually rich dashboards, strong embedded analytics capabilities via APIs and embedding frameworks. Low-code approach for building dashboards and data models. Wide range of connectors to databases and cloud data platforms. Strong support for self-service analytics and data exploration. Ability to blend multiple data sources without heavy engineering effort. From a data science perspective , Tableau supports quick exploration and visualization of data sets , helping teams validate insights and communicate findings effectively.

Dislike

Tableau Server requires too many resources. It doesnt really work well with data bigger than 10MB in a CSV file, and connections to external DBs are mostly very slow.

Dislike

Tableau Server requires too many resources. It doesnt really work well with data bigger than 10MB in a CSV file, and connections to external DBs are mostly very slow.

Dislike

Tableau Server requires too many resources. It doesnt really work well with data bigger than 10MB in a CSV file, and connections to external DBs are mostly very slow.