We performed a comparison between CloverETL and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."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."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"Its dashboarding is the most valuable. It is easy to create visualizations and dashboards and import Excel sheets and ESP files in Tableau as compared to other tools."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"It provides supporting data for critical policy and operational changes"
"The most valuable feature is the aggregation function."
"I have found many of the self-service features valuable."
"It is a very stable product. It doesn't break."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers."
"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."
"Tableau has so many functions, so sometimes it's hard to find the right solution quickly. I have to search multiple menu bars to find the right command."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"The SQL programming functionality needs to be improved."
"With performance tuning, it generates a pretty complex query when it is not required."
"The pricing is a bit expensive."
"The pricing is high. I'm using a student license, however, I know that even this license is very expensive. I've tried to have this product in our organization, however, it's quite expensive. We don't have the internal budget."
"Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited."
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
Earn 20 points
CloverETL is ranked 42nd in Data Visualization while Tableau is ranked 1st in Data Visualization with 293 reviews. CloverETL is rated 7.0, while Tableau is rated 8.4. The top reviewer of CloverETL writes "Provides wealth of pre-defined, customizable components, and descriptive logging for errors". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". CloverETL is most compared with SSIS, iWay Universal Adapter Framework and Talend Open Studio, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, SAS Visual Analytics and Databricks.
See our list of best Data Visualization vendors.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
