Digital.ai Deploy vs Digital.ai Release comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Digital.ai Deploy
Ranking in Release Automation
13th
Average Rating
7.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Release Automation
10th
Average Rating
8.2
Number of Reviews
4
Ranking in other categories
Build Automation (12th)
 

Mindshare comparison

As of June 2024, in the Release Automation category, the mindshare of Digital.ai Deploy is 0.1%, down from 1.1% compared to the previous year. The mindshare of Digital.ai Release is 0.3%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
Unique Categories:
No other categories found
Build Automation
0.7%
 

Featured Reviews

it_user158721 - PeerSpot reviewer
Nov 19, 2014
Besides for the flash GUI which is a pain, it includes all of the features we were looking for.
We used an in-house developed scripting solution for the main parts of our deployments and complemented that with error-prone manual steps accompanied by huge hard to maintain deployment manuals. We wanted to implement a Continuous Delivery methodology combined with a DevOps culture and therefor needed to speed up deployments as well as delivering better quality products to our customers. We switched because our scripting solution would not be able to deliver on those key features. Plus, we also are in the process of switching from IBM Websphere application servers on Windows to a new target platform (JBoss EAP on Linux (RHEL)). So in the long run the scripting solution which was targeted on IBM Websphere needed a lot of work, if at all it would survive.
Satish Jaiswal - PeerSpot reviewer
Apr 10, 2024
Facilitates extensive automation, simplifies the creation of documentation and speeds up deployment processes but there is a learning curve
We start by creating documentation for all these tasks. Initially, this includes all the details of the artifacts and the database. Then, the developer updates these details. We perform the deployments using Digital.ai Release. What we do is input the artifact information, and it handles all the deployments in the lower environments, usually within a minute or up to five minutes. This way, we avoid the need to use Jenkins to locate the artifacts and then deploy them, which would take much more time. Here, we simply input all the artifact details once, and later, we only need to update the artifact version for deployment. This significantly reduces our time. Moreover, once the deployment is completed, Digital.ai Release automatically sends an email notification stating that the deployment is complete, and we can begin testing. So, that's how it works efficiently for us.

Quotes from Members

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

Pros

"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"This product is an innovative market leader in the field of application deployment."
"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The solution can apply one template across multiple applications."
"The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
 

Cons

"The tool needs to improve on cloud-native GitOps."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."
"The solution is a little bit expensive."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
 

Pricing and Cost Advice

"The product’s pricing is acceptable. We get volume discounts."
"Pricing costs are based on annual subscriptions."
"The solution's license includes all features."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
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Top Industries

By visitors reading reviews
Financial Services Firm
37%
Insurance Company
14%
Computer Software Company
12%
Manufacturing Company
9%
Educational Organization
47%
Financial Services Firm
20%
Computer Software Company
10%
Insurance Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Digital.ai Deploy?
The solution creates a manifest file that caps the bridge between the developer and the system admin.
What is your experience regarding pricing and costs for Digital.ai Deploy?
The product’s pricing is acceptable. We get volume discounts.
What needs improvement with Digital.ai Deploy?
The tool needs to improve on cloud-native GitOps.
What do you like most about Digital.ai Release ?
The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us.
What is your experience regarding pricing and costs for Digital.ai Release ?
The solution's license includes all features. I have not compared pricing to other tools, but feel the solution is a little expensive.
What needs improvement with Digital.ai Release ?
There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...
 

Also Known As

Deployit, XLDeploy, XebiaLabs XL Deploy
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Find out what your peers are saying about Digital.ai Deploy vs. Digital.ai Release and other solutions. Updated: May 2024.
787,817 professionals have used our research since 2012.