CloverETL vs Tableau Enterprise comparison

Javlin and Salesforce are both solutions in the Data Visualization category. Javlin is ranked #37, while Salesforce is ranked #1 with an average rating of 8.3. Javlin holds a 0.3% mindshare in DV, compared to Salesforce’s 21.4% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

CloverETL

Read 2 CloverETL reviews

448 Views
90 Comparison Views

100% willing to recommend

Tableau Enterprise

Read 307 Tableau Enterprise reviews

19,689 Views
5,907 Comparison Views

89% willing to recommend

CloverETL

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 4, 2025

Tableau Enterprise and CloverETL are competing products in the data analytics and integration market. Tableau Enterprise often has the upper hand in data visualization capabilities while CloverETL stands out in data integration tasks.

Features: Tableau Enterprise offers interactive dashboards, advanced analytics, and robust data visualization capabilities, making it ideal for visual data analysis. CloverETL provides powerful data transformation features, which are excellent for extensive data manipulation and integration tasks. It offers more flexible data processing capabilities suitable for complex data handling.

Ease of Deployment and Customer Service: Tableau Enterprise ensures smooth implementation with straightforward deployment and excellent customer support, suitable for various environments. CloverETL has a more complex deployment process tailored for customizable data pipelines and may require more technical support during setup.

Pricing and ROI: Tableau Enterprise generally requires a higher initial setup cost while delivering significant ROI through rich data insights and visualization efficiency. CloverETL offers a competitive pricing structure focused on cost-effective data integration that provides substantial ROI by streamlining data processes.

To learn more, read our detailed CloverETL vs. Tableau Enterprise Report (Updated: July 2025).

Buyer's Guide

CloverETL vs. Tableau Enterprise

July 2025

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Helped 865,295 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

37th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

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 August 2025, in the Data Visualization category, the mindshare of CloverETL is 0.3%, up from 0.3% compared to the previous year. The mindshare of Tableau Enterprise is 21.4%, down from 30.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

"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."

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

"The solution deployment was straightforward."

"The most valuable features of Tableau include building hyper extracts and creating visuals."

"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."

"The solution offers very good reporting."

"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."

"The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness."

"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."

"The solution helps users create dashboards and analyze data without relying on IT or product teams."

More Tableau Enterprise pros

Cons

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

"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."

"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."

"From a customer's point of view, I have noted that after the acquisition by Salesforce, the customer service for Tableau has declined significantly."

"Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard."

"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."

"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."

"The product's features for cloud integration need improvement."

"Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening."

"There are more than a powerful tool in the market, such as Microsoft BI."

More Tableau Enterprise cons

Pricing and Cost Advice

Information not available

"Its price is reasonable. Everything is included in the license."

"Tableau is not as cost-effective as Microsoft BI."

"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."

"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."

"I'm using Tableau Public, which is free."

"ROI is very high, but it requires a data preparation/blending tool."

"In Indian Rupees, Tableau costs about 30,000 to 40,000 per year."

"Tableau is an expensive solution."

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

16%

Manufacturing Company

10%

Computer Software Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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Comparisons

Pentaho Data Integration and Analytics vs CloverETL

Compared 50% of the time

SAS Visual Analytics vs CloverETL

Compared 50% of the time

More CloverETL Competitors

Microsoft Power BI vs Tableau Enterprise

Compared 18% of the time

Domo vs Tableau Enterprise

Compared 9% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 6% of the time

Databricks vs Tableau Enterprise

Compared 5% of the time

SAP Analytics Cloud vs Tableau Enterprise

Compared 4% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Data Integration

August 2025

Download CloverETL product report

Buyer's Guide

Tableau Enterprise

July 2025

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

July 2025

Free Report: CloverETL vs. Tableau Enterprise

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