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CA Deliver vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 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

CA Deliver
Ranking in Reporting
32nd
Average Rating
9.6
Reviews Sentiment
8.1
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in Reporting
2nd
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Data Visualization (1st), Embedded BI (1st)
 

Mindshare comparison

As of January 2026, in the Reporting category, the mindshare of CA Deliver is 0.6%, up from 0.0% compared to the previous year. The mindshare of Tableau Enterprise is 16.8%, down from 23.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise16.8%
CA Deliver0.6%
Other82.6%
Reporting
 

Featured Reviews

it_user837525 - PeerSpot reviewer
Senior Systems Engineer (Sr. level II) at a insurance company with 1,001-5,000 employees
Gives us one repository for various output formats and retention periods
A common theme with all CA products is they state compatibility with new technologies when it has not yet been proven. Much like other technology companies that have fallen into this trap, let feature and compatibly releases be controlled by the technical group, instead of the marketing and/or management people. I cite the example that CA mainframe products were deemed to be compatible with Extended Address Volumes (EAV) - larger sized disk volumes - when they were not. I have been doing this for 37 years and see it all too often, sometimes to the detriment of the company itself (Storage Technology Corp. and its Iceberg array comes to mind).
Uzair Faruqi - PeerSpot reviewer
Head Of Analytics at Mjunction Services
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Having one repository for various output formats and retention periods. Provides the flexibility to establish hundreds of different retention entries, based upon business need, and then group the like retention period outputs together on the same media. It is very efficient."
"Flexibility of report configuration; allows for quick and simple amendments to definitions."
"This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases)."
"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."
"Very user friendly."
"The most valuable feature is the aggregation function."
"Tableau is easy to use."
"The best features with Tableau Enterprise are about data discovery because it is important; data discovery is easy, it is easy to diagram different plots and different elements, and it is easy to discover insights about the data."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"Tableau is a fantastic tool that provides impressive dashboards and customized reports."
 

Cons

"Needs ability to allow export to xls/pdf, etc. (Note: this is available in add-on product CA – OM Web Viewer)."
"A common theme with all CA products is they state compatibility with new technologies when it has not yet been proven. I cite the example that CA mainframe products were deemed to be compatible with Extended Address Volumes (EAV) - larger sized disk volumes - when they were not."
"With Tableau, there is a gap in its ability to handle very large-scale data."
"I have noticed that Tableau is not very compatible with ClickHouse. There's no direct connection to ClickHouse; you have to set up an ODBC connection."
"The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"The solution needs to improve its integration capabilities."
"Lacks customization in some areas."
"On a scale from zero to ten, I would score Tableau Enterprise support at a two."
 

Pricing and Cost Advice

"​Pricing is reasonable, licensing model suitable for large enterprises."
"It is a bit overpriced."
"The cost of the solution should be improved."
"The initial cost that is set according to CPU cores is expensive."
"ROI is very high, but it requires a data preparation/blending tool."
"The solution is very expensive. If you have many users then it is going to cost your company a lot of money."
"The pricing is $70 per month. You have to pay about $800 or something in that ballpark annually for one license."
"Tableau has core-based and user-based licensing, and it is tied to scalability. The core-based licensing is about you buying a certain number of cores, and there is no restriction on the number of users who can use Tableau. The restriction is only on the number of cores. In user-based subscription licensing, there is a restriction on the number of users. Big companies and government organizations with a lot of users typically go for core-based licensing. User-based subscription licensing is a more common model. It has user roles such as creator, explorer, and viewer. A creator is someone who does the groundwork or development work. An explorer is someone who is into middle management but is not technically savvy, such as a category head. A viewer is like a typical decision-maker in senior management. For each role, Tableau is priced differently. The viewer role has the minimum price, and the creator role has the highest price. This pricing is available on their website. Everybody can see it."
"It is fairly expensive. I have no idea what they paid. We were on an enterprise license, so whatever it is they licensed at the enterprise level is what we paid."
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Comparison Review

it_user6330 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

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Comparisons

 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

ERGO
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.
Find out what your peers are saying about CA Deliver vs. Tableau Enterprise and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.