CloverETL vs Tableau comparison

Javlin and Salesforce are both solutions in the Data Visualization category. Javlin is ranked #50, while Salesforce is ranked #1 with an average rating of 8.6. Javlin holds a 0.2% mindshare in DV, compared to Salesforce’s 27.2% 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

64 Views
54 Comparison Views

100% willing to recommend

Tableau

Read 295 Tableau reviews

9,262 Views
7,896 Comparison Views

89% willing to recommend

CloverETL

Tableau

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Tableau and CloverETL operate in the realm of data management, focusing on visualization and integration respectively. Tableau has a competitive edge due to its user-friendly design and appealing pricing, whereas CloverETL's prowess in data transformation is beneficial for those with complex data needs.

Features: Tableau is equipped with advanced visualization tools, intricate dashboards, and interactive reporting options. It simplifies user experience through drag-and-drop functionality. CloverETL excels with comprehensive data integration and transformation abilities, and it is geared towards handling intricate data scenarios with its robust data manipulation engine.

Ease of Deployment and Customer Service: Tableau promises a simple deployment process complemented by extensive online support resources. Its user-friendly installation makes it accessible to a broad audience. CloverETL, though requiring more technical knowledge during deployment, ensures dedicated support throughout the implementation phase, catering to advanced configuration needs.

Pricing and ROI: Tableau offers a lower initial setup cost and user-friendly licensing, which facilitates quick ROI. CloverETL, with possibly higher upfront costs due to its complexity, provides substantial ROI for organizations with significant data integration demands, making it a valuable investment for detailed data processes.

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

Buyer's Guide

CloverETL vs. Tableau

January 2025

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Helped 837,501 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

50th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (63rd)

Tableau

Ranking in Data Visualization

1st

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

295

Ranking in other categories

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

Mindshare comparison

As of February 2025, in the Data Visualization category, the mindshare of CloverETL is 0.2%, down from 0.2% compared to the previous year. The mindshare of Tableau is 27.2%, down from 31.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

it_user854766

Vice President, Information and Technology Services at a tech services company with 11-50 employees

Provides wealth of pre-defined, customizable components, and descriptive logging for errors

* Familiar, intuitive GUI (Eclipse plug-in) coming from a Java development background. * In-depth, descriptive, and well-laid-out documentation. * Responsive support through forums, even directly from Clover staff. * Wealth of pre-defined components. * All components are customizable. * Descriptive logging, especially for error messages. * Ease of install/light footprint.

Read full review

ROMIL SHAH

Deputy General Manger - Information Technology at Nayara Energy

Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time

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. Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming. We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us. Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them. Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

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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

"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."

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

"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."

"It provides business users with a tool, so they are not dependent on IT."

"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."

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

"It's a very good, flexible product, and it's easy to learn."

"The solution provides the leverage of having custom visualization and the capability of self-service."

"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."

"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."

More Tableau 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 charting is overly complex in comparison with Power BI's"

"A strict security measure is needed. I believe it is weak in terms of security."

"The visualizations should be user-friendly and allow for more custom visualizations."

"There's no mature ETL tool in Tableau, which is quite a negative for them."

"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."

"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."

"The customization in the front end is a bit difficult."

"From the developer perspective, the data connection handling the target data set is what most needs to be improved."

More Tableau cons

Pricing and Cost Advice

Information not available

"We pay for the enterprise license for Tableau. The licensing could be cheaper and more flexible."

"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."

"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."

"If they want to be competitive in the market, the price must be improved."

"Basically, we prefer a permanent license. A one-time charge is much better."

"Its price is a concern. It is more expensive than Power BI. My guess would be that it is $1000 or less per year. We might go for Power BI in the future because of its umbrella with Microsoft licensing. It is much cheaper for us to use Power BI, and some folks will go in that direction because they don't want to pay the higher license."

"This license is on a yearly basis."

"Buy 50 at a time. Project your use base every three months, and project your requirements forward."

More Tableau 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…

Read full review

Top Industries

By visitors reading reviews

No data available

Educational Organization

44%

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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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Comparisons

No data available

Microsoft Power BI vs Tableau

Compared 19% of the time

Domo vs Tableau

Compared 12% of the time

Amazon QuickSight vs Tableau

Compared 8% of the time

Databricks vs Tableau

Compared 6% of the time

SAP Analytics Cloud vs Tableau

Compared 4% of the time

More Tableau Competitors

Product Reports

Buyer's Guide

Data Integration

January 2025

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Buyer's Guide

Tableau

January 2025

Download Tableau 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 is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.

Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

Tableau has many valuable key features:

Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards.
Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions.
Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data.
Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries.
Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

Romil S., Deputy General Manager of IT at Nayara Energy, notes, "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.

Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”

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

January 2025

Free Report: CloverETL vs. Tableau

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