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CA Deliver vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 2026

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
34th
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 March 2026, in the Reporting category, the mindshare of CA Deliver is 0.7%, up from 0.0% compared to the previous year. The mindshare of Tableau Enterprise is 16.5%, down from 23.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise16.5%
CA Deliver0.7%
Other82.8%
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 Data Science 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

"The benefits are that it keeps their information for over 40 to 50 years, so in essence it's a digital bank for customer information."
"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."
"Great visualization tool!!! Connectivity to many different types of data sources."
"Tableau is good for routine dashboards, and it has integration with Slack, through which it can send you daily updates."
"I would say Tableau is a good product to use for data visualization; I recommend it for that and for data analysis."
"ROI shows when you hear 'Wow' from your clients every time you deliver a dashboard or a report."
"I really like the interactivity of the dashboards."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"Tableau is easy to use compared to some other solutions, such as Excel."
"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."
 

Cons

"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."
"I work with the developers so I get what I want built into the project."
"Needs ability to allow export to xls/pdf, etc. (Note: this is available in add-on product CA – OM Web Viewer)."
"It felt a bit slow."
"Could have more integrations with different platforms."
"The integration and usage of multiple data sources is sometimes not that straightforward."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"The data entered into Tableau must be clean. Otherwise, it won't work properly."
"It’s a very basic thing, but being able to copy and paste data elements from the screen would be nice."
"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."
"I am a BI consultant. I have worked on different reporting tools, such as Power BI and MicroStrategy. As compared to other tools, Tableau lags behind in handling huge enterprise-level data in terms of robust security and the single integrated metadata concept. When we connect to large or very big databases, then performance-wise, I sometimes found Tableau a little bit slow. It can have the single metadata concept like other tools for the reusability of the objects in multiple reports."
 

Pricing and Cost Advice

"​Pricing is reasonable, licensing model suitable for large enterprises."
"I recommend that you discuss your needs with the salesperson and try to negotiate the price."
"It is expensive when you compare it with Power BI. It should be cheaper."
"It is reasonable and cheap as compared to other major tools. It has a good price, and people go for it because of its pricing."
"Tableau is an expensive solution."
"There is a license for the use of this solution and it is on a per-user basis. The server is free but the users you have to pay for."
"At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."
"The licensing model of Tableau has changed since we initially purchased it three years ago and it is more complicated, and I have found it to be more expensive. They have lost market shares to Microsoft BI. My company will probably change solutions this year because of the increased pricing model."
"Pricing is not bad. It's competitive."
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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
13%
Computer Software Company
9%
Manufacturing Company
9%
University
6%
 

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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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: March 2026.
884,873 professionals have used our research since 2012.