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CloverETL vs SAS Visual Analytics 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
40th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Integration (60th)
SAS Visual Analytics
Ranking in Data Visualization
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 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 SAS Visual Analytics is 3.5%, down from 5.8% 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…
Danna Nemeth - PeerSpot reviewer
Provides ease of use and has advanced data visualization capabilities
The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly. It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management. Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.

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.​​"
"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."
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"I use Visual Analytics for enterprise reporting."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The flexibility of the configuration is valuable to me."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The product is stable, reliable, and scalable."
"It is a very stable solution."
 

Cons

"​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.​"
"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."
"A bit more flexibility in the temperatization will be helpful."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The solution should improve its graphics."
"The product is expensive and needs the integration of more languages."
"The integration aspects of the solution could be improved."
"The installation process can be a bit complex."
"Colours used on report objects"
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
 

Pricing and Cost Advice

Information not available
"It was licensed for corporate use, and its licensing was on a yearly basis."
"The product is quite expensive."
"Licensing is simple."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"The product is expensive."
"The cost of the solution can be expensive. There is an additional cost for users."
"It's approximately $114,000 US dollars per year."
"SAS Visual Analytics is expensive, as is the rest of the platform."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Government
11%
Computer Software Company
10%
University
8%
 

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 SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
 

Also Known As

No data available
SAS BI
 

Overview

 

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about CloverETL vs. SAS Visual Analytics and other solutions. Updated: July 2025.
864,053 professionals have used our research since 2012.