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CloverETL vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 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
33rd
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Integration (59th)
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 January 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 11.3%, down from 28.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise11.3%
CloverETL1.0%
Other87.7%
Data Visualization
 

Featured Reviews

it_user856614 - PeerSpot reviewer
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…
Uzair Faruqi - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"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."
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"It is very easy to implement and to use."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
"Tableau is quite easy to develop dashboards with, and the range of dashboards is good."
"The solution is being delivered to our customer, who appreciates the insights generated from the reports. It is easy for them to drill into the details and use interactive charts."
"There is a lot of APIs available, which means that Tableau can be customized to a large extent."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"Tableau's initial setup was straightforward."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
 

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 product's features for cloud integration need improvement."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"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."
"I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller."
"I would like to have the product be more flexible in terms of creating online shared dashboards."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"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."
 

Pricing and Cost Advice

Information not available
"The price is definitely a point because smaller firms don't use Tableau as it's an expensive tool."
"Cost is where tools like MicroStrategy, Power BI, or Spotfire come into play. Cost-wise, Tableau is a little bit costlier than other tools such as Power BI. I have been using Tableau all these years, but about four years ago, Power BI came out at a very low cost. Their desktop version was free from the beginning. Power BI Desktop has always been free, whereas Tableau Desktop is costly. When it comes to cost, people prefer Power BI because it integrates very well with Office 365. You don't have to worry about integration with Teams or SharePoint."
"Pricing could be better. I believe they should offer better pricing for deployment in small to mid-sized companies."
"Its price is higher than Power BI and QlikView. Tableau costs around $70 per user per month, whereas Power BI is around $8 to $9. QlikView is around $30. Tableau has various prices for various models such as Creator, Designer."
"Tableau is a little cheaper as compared to Power BI and other technologies that we have used in the past. However, if the business users in our organization want to make presentations, Tableau has been asking us to purchase a Tableau Creator license, and $35 per month is expensive for business users. Power BI is giving a free desktop version for business users to connect to any data source and build their own dashboards. That's why we have proposed to use Power BI for most of the business users in our organization."
"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
"At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."
"Licensing fees are paid on a yearly basis."
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Comparison Review

it_user6330 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

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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: December 2025.
881,082 professionals have used our research since 2012.