CloverETL vs Tableau Enterprise comparison

Javlin and Salesforce are both solutions in the Data Visualization category. Javlin is ranked #32, while Salesforce is ranked #1 with an average rating of 8.2. Javlin holds a 1.0% mindshare in DV, compared to Salesforce’s 10.1% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 90% of Salesforce users who would recommend it.

CloverETL

Read 2 CloverETL reviews

1,084 Views
260 Comparison Views

100% willing to recommend

Tableau Enterprise

Read 309 Tableau Enterprise reviews

19,124 Views
5,928 Comparison Views

90% willing to recommend

CloverETL

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 9, 2025

Tableau Enterprise and CloverETL compete in data analytics and integration. Tableau Enterprise seems to have the upper hand in visualization with advanced analytics, while CloverETL is stronger in data integration.

Features: Tableau Enterprise offers extensive visualization options, interactive dashboards, and real-time analytics. CloverETL provides flexible data transformation, handles complex integration tasks, and is suited for comprehensive data processing.

Ease of Deployment and Customer Service: Tableau Enterprise ensures quick setup with cloud-based deployment and offers responsive support. CloverETL provides robust on-premise deployments but may require longer setup times due to its complex configurations, offering reliable but less responsive support compared to Tableau Enterprise.

Pricing and ROI: Tableau Enterprise has higher upfront costs but provides significant returns through enhanced data insights. CloverETL's pricing is competitive, with value in its data integration expertise, though its ROI depends on data complexity needs. Tableau Enterprise often delivers quicker ROI, while CloverETL is attractive for cost-effective data handling.

To learn more, read our detailed CloverETL vs. Tableau Enterprise Report (Updated: February 2026).

Buyer's Guide

CloverETL vs. Tableau Enterprise

February 2026

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Helped 881,733 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

CloverETL

Ranking in Data Visualization

32nd

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (58th)

Tableau Enterprise

Ranking in Data Visualization

1st

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

309

Ranking in other categories

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

Mindshare comparison

As of February 2026, in the Data Visualization category, the mindshare of CloverETL is 1.0%, up from 0.2% compared to the previous year. The mindshare of Tableau Enterprise is 10.1%, down from 27.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	10.1%
CloverETL	1.0%
Other	88.9%

Data Visualization

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

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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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Quotes from Members

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

Pros

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

"No dependence on native language and ease of use."

"Scheduled extract and the multiple connectors are fantastic!"

"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."

"The product has the best features for analytical views and filters."

"The solution allows for the possibility for end-users to do their own reporting."

"It is very easy to create dashboards, charts, and graphs."

"Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly."

"The most valuable features of the solution are the permission management and the user management."

"Data handling, visualizations, and aesthetics of it are the most valuable features."

More Tableau Enterprise pros

Cons

"Its documentation could be improved."

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."

"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."

"The solution could use more features in data analytics."

"I would like to have the product be more flexible in terms of creating online shared dashboards."

"Tableau could be improved by introducing a data manipulation layer within the tool itself. Currently, data manipulations require using additional tools like Alteryx. If Tableau included these capabilities, it would reduce the need for external dependencies. The tool gets slower when we feed huge amounts of data."

"I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it."

"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."

"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."

More Tableau Enterprise cons

Pricing and Cost Advice

Information not available

"It is a bit overpriced."

"The value for money is definitely there."

"The professional version of Tableau is quite expensive."

"Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."

"The price of this solution could definitely be lower. It's quite expensive."

"The solution's licensing is based on user-basis. It depends on the business ROI it offers. It's not on the higher side or too cheap; it falls in the medium-cost range. The price is determined by user usage, so the cost will also increase as the number of users increases."

"For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model."

"The licensing model of Tableau has changed since we initially purchased it three years ago and it is more complicated, and I have found it to be more expensive. They have lost market shares to Microsoft BI. My company will probably change solutions this year because of the increased pricing model."

More Tableau Enterprise pricing and cost advice

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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

10%

Manufacturing 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	67
Large Enterprise	184

Questions from the Community

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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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Compared 12% of the time

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Compared 17% of the time

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Compared 7% of the time

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Compared 4% of the time

Julius AI vs Tableau Enterprise

Compared 3% of the time

Databricks vs Tableau Enterprise

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Product Reports

Buyer's Guide

Data Integration

January 2026

Download CloverETL product report

Buyer's Guide

Tableau Enterprise

January 2026

Download Tableau Enterprise product report

Also Known As

No data available

Tableau Desktop, Tableau Server, Tableau Online

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

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

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

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

CloverETL vs. Tableau Enterprise

February 2026

Free Report: CloverETL vs. Tableau Enterprise

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