We performed a comparison between IBM Cognos Dashboard and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool's valuable features are that it is easy to use and stable."
"It is a pretty stable solution."
"The product helps us update the KPI automatically."
"The main feature that is useful is the on-demand report generation through the dashboard."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"I have found Tableau easy to use and the features are superb."
"The most valuable feature is the aggregation function."
"Since Tableau is on the cloud, we haven't faced any challenges around scalability."
"The most valuable feature is the interface, which is user-friendly and intuitive."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"The most valuable features are data discovery and fine visualizations."
"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."
"The scalability of the product's on-premises version is an area with certain shortcomings where improvements are required."
"Visualization is an area where the product lacks."
"The price point is one of the major areas to be improved."
"They should include proper documentation to learn more about the product."
"The data entered into Tableau must be clean. Otherwise, it won't work properly."
"I would like the solution to have certain features allowing the delivery of reports to the email."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"The charts in Tableau are quite limited."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"A strict security measure is needed. I believe it is weak in terms of security."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
IBM Cognos Dashboard is ranked 16th in Data Visualization with 4 reviews while Tableau is ranked 1st in Data Visualization with 291 reviews. IBM Cognos Dashboard is rated 8.6, while Tableau is rated 8.4. The top reviewer of IBM Cognos Dashboard writes "An easy-to-use and stable tool useful for its functionalities like analytics and AI". 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". IBM Cognos Dashboard is most compared with Apache Superset, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our IBM Cognos Dashboard vs. Tableau report.
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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.
