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CA Deliver vs Plotly Dash Enterprise comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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
33rd
Average Rating
9.6
Reviews Sentiment
8.1
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Plotly Dash Enterprise
Ranking in Reporting
3rd
Average Rating
8.2
Reviews Sentiment
5.2
Number of Reviews
41
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Reporting category, the mindshare of CA Deliver is 1.0%, up from 0.1% compared to the previous year. The mindshare of Plotly Dash Enterprise is 1.5%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting Mindshare Distribution
ProductMindshare (%)
Plotly Dash Enterprise1.5%
CA Deliver1.0%
Other97.5%
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).
reviewer2835996 - PeerSpot reviewer
Operations Analyst at a non-profit with 51-200 employees
Interactive dashboards have transformed reporting and now speed up team decision making
One area where Plotly Dash Enterprise can be improved is the learning curve for beginners. It can take time to understand the callbacks and app structures. Debugging can sometimes be tricky, especially for complex apps. Improving documentation and providing more built-in templates or examples would make it easier for new users to get started. Another improvement could be around performance optimization in Plotly. For example, with a large dataset, a dashboard can sometimes become slow. Better built-in support for handling big data efficiently would help. Additionally, smoother integration with other data tools and cloud services would make it easier to fit into different tech stacks.

Quotes from Members

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

Pros

"Extremely stable and reliable, and easy to install."
"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."
"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."
"Flexibility of report configuration; allows for quick and simple amendments to definitions."
"The positive impact of Plotly Dash Enterprise includes the speed to production, the accessibility it provides, and the enhanced security and compliance."
"The best features that Plotly Dash Enterprise offers are that it is a great no-code solution if you want interactive visualizations without using the tools within Python or R."
"With Plotly Dash Enterprise, engineers can now directly view issues on the app, enabling faster segregation and resolution of complaints, resulting in improved customer satisfaction, as customers who previously endured 24-hour wait times now experience resolutions in two to three hours due to direct interaction with real-time feedback."
"Plotly Dash Enterprise helped me to visualize data better as the color schemas provided were very contrasting, and anyone new who saw the data could interpret it much quicker compared to any other platform."
"Plotly Dash Enterprise significantly reduces engineering costs by seventy percent, eliminates the front-end JavaScript rewrite phase, and allows us to build, design, and deploy production-grade applications independently in Python."
"The best features Plotly Dash Enterprise offers is the clarity."
"I have been using it to turn raw data into interactive, presentation-ready visuals with no extra effort, making exploratory data analysis faster and stakeholder communication far more effective."
"I advise enterprises that want to move to it that it is a very good option, reliable, and secure."
 

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."
"Needs ability to allow export to xls/pdf, etc. (Note: this is available in add-on product CA – OM Web Viewer)."
"I work with the developers so I get what I want built into the project."
"I sometimes find that the documentation is not comprehensive and more detailed documentation should be available for the benefit of other companies using it."
"Since we are feeding Plotly with a lot of data, I think there is a security gap."
"The out-of-the-box UI components currently feel basic and limited compared to modern design components, and styling often requires extra effort."
"The problem with Plotly Dash Enterprise is that it often suffers from callback hell because an output can only be targeted by a single callback in standard architecture, causing developers to write massive code to manage complex page states."
"I would say scalability of Plotly Dash Enterprise is low when I used it; it was not easy to adapt to different data volumes or needs."
"While Plotly Dash Enterprise is powerful, its default look can sometimes feel more academic or technical than the sleek, modern UI of dedicated BI tools."
"However, sometimes it crashes when I use, for example, 10 million data points."
"The main improvement I can think of is that while creating charts, it gives you a certain format of how it could look."
 

Pricing and Cost Advice

"​Pricing is reasonable, licensing model suitable for large enterprises."
"I only use the free tier of the product."
"It is an open-source tool. My company hasn't explored Plotly's premium services yet, but I believe the prices could be on the premium side."
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Top Industries

By visitors reading reviews
No data available
University
20%
Outsourcing Company
16%
Manufacturing Company
11%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise4
Large Enterprise21
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Plotly?
I find the pricing of Plotly Dash Enterprise to be reasonable.
What needs improvement with Plotly?
The problem with Plotly Dash Enterprise is that it often suffers from callback hell because an output can only be targeted by a single callback in standard architecture, causing developers to write...
What is your primary use case for Plotly?
My main use case for Plotly Dash Enterprise involves production in a Python platform that empowers data teams to build, scale, and deploy interactive analytics and AI-driven data applications direc...
 

Overview

 

Sample Customers

ERGO
Google, Goji, VIT, Smpl Bio, U.S. Air Force, C12 Energy, New York University
Find out what your peers are saying about CA Deliver vs. Plotly Dash Enterprise and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.