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CloverETL vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 4, 2025

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
39th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Integration (61st)
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 October 2025, in the Data Visualization category, the mindshare of CloverETL is 0.4%, up from 0.3% compared to the previous year. The mindshare of Tableau Enterprise is 19.2%, down from 29.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise19.2%
CloverETL0.4%
Other80.4%
Data Visualization
 

Featured Reviews

it_user856614 - PeerSpot reviewer
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…
Uzair Faruqi - PeerSpot reviewer
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.

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."
"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.​​"
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"The solution is configurable and flexible. We can customize the dashboards and configure the interface the way that we want. The data can be manipulated and arranged in different ways, such as columns."
"Data handling, visualizations, and aesthetics of it are the most valuable features."
"The most valuable feature is the aggregation function."
"I believe one of the most valuable features of the solution is trend analysis."
"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."
"Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive."
"Tableau Prep tool for data preparation is a most valuable tool."
"The most valuable features are data discovery and fine visualizations."
 

Cons

"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."
"Its documentation could be improved.​"
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"The solution could use more features in data analytics."
"Tableau's data modeling, mining, and AI library features need improvement."
"They need to improve the bar chart position and width."
"Whenever it comes to specialized visualization, Tableau is an absolute failure."
"There are restrictions in scheduling reports. For instance, we cannot send the entire Excel file reports via email within Tableau."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."
"Overall, the only major frustration that I have had so far is with Tableau Public. I first used Tableau Public when I was building capacity, and when there was a later release to download and you wanted to upgrade, all your work would have to be manually re-entered."
 

Pricing and Cost Advice

Information not available
"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."
"Basically, we prefer a permanent license. A one-time charge is much better."
"In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people."
"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
"Tableau is an expensive solution compared to Power BI."
"The cost is high."
"This license is on a yearly basis."
"Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
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Comparison Review

it_user6330 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise66
Large Enterprise182
 

Questions from the Community

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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 ...
 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

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.
Find out what your peers are saying about CloverETL vs. Tableau Enterprise and other solutions. Updated: September 2025.
868,787 professionals have used our research since 2012.