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CloverETL vs Sisense comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 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 (65th)
Sisense
Ranking in Data Visualization
15th
Average Rating
8.8
Reviews Sentiment
7.6
Number of Reviews
41
Ranking in other categories
BI (Business Intelligence) Tools (19th), Cloud Analytics (6th), Reporting (16th), Embedded BI (9th)
 

Mindshare comparison

As of June 2025, in the Data Visualization category, the mindshare of CloverETL is 0.2%, down from 0.3% compared to the previous year. The mindshare of Sisense is 2.9%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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…
Wiboon Thabsuwan - PeerSpot reviewer
Helps businesses save time and offers good integration features
I would say that using Sisense on Linux's platform might not be advantageous for everyone. I am more familiar with Windows than Linux. With Windows, the system performs very fast. Even if your data size consists of like 10,00,00,000 loads or whatever, it works very fast. When using Sisense, it is better to have some people with a very good understanding of Linux. I need more technical people who understand about Linux OS. Only two people would be enough to operate the tool.

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."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"No dependence on native language and ease of use.​​"
"This solution is easy to learn how to use."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"​Allows users to build their own solutions without as much reliance on technology staff."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"No issues with stability. It is a very stable solution."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions."
"The Sisense solution was very easy to set up, and its visualizations were effective."
 

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."
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"Its documentation could be improved.​"
"I would like to see an improvement in the live data connection, specifically making the process faster."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"The solution's setup process could be easier."
 

Pricing and Cost Advice

Information not available
"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
"Compared to Power BI or Tableau, Sisense is much more expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
15%
University
7%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Sisense?
The solution's technical support team is good.
What needs improvement with Sisense?
I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.
What is your primary use case for Sisense?
I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to cle...
 

Comparisons

No data available
 

Overview

 

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo
Find out what your peers are saying about CloverETL vs. Sisense and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.