Digital.ai Deploy Reviews

Name: Digital.ai Deploy
Brand: Digital.ai
Rating: 3.7 (11 reviews)

3.7 out of 5

11 reviews
81% willing to recommend

1,020 followers

What is Digital.ai Deploy?

Automate and standardize complex, enterprise-scale application deployments to any environment—from mainframes and middleware to containers and the cloud. Speed up deployments with increased reliability. Enable self-service deployment while maintaining governance and control.

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Digital.ai Deploy is the #13 ranked solution in top Release Automation solutions. PeerSpot users give Digital.ai Deploy an average rating of 7.4 out of 10. Digital.ai Deploy is most commonly compared to Microsoft Azure DevOps: Digital.ai Deploy vs Microsoft Azure DevOps. Digital.ai Deploy is popular among the large enterprise segment, accounting for 81% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 42% of all views.

Helped 825,609 peers since 2012

Featured reviews

Dorian Sezen

Managing Partner at Kloia

The solution is for heterogeneous enterprise environments that have different workflows like Kubernetes, Linux, Windows, and mainframe The solution creates a manifest file that caps the bridge between the developer and the system admin. The tool needs to improve on cloud-native GitOps. I have…

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Dorian Sezen

Managing Partner at Kloia

Release Orchestration Visualizing the DevOps progress 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 currently has a bug that causes performance…

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it_user158721

Sr. Adviseur Bedrijfsvoering ICT (Sr. Business Consultant ICT) at a government with 1,001-5,000 employees

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.

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Digital.ai Deploy mindshare

As of January 2025, the mindshare of Digital.ai Deploy in the Release Automation category stands at 0.7%, down from 0.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Release Automation

PeerAnalyst reports

Type	Title	Date
Category	Release Automation	Jan 5, 2025	Download
Product	Reviews, tips, and advice from real users	Jan 5, 2025	Download
Comparison	Digital.ai Deploy vs Microsoft Azure DevOps	Jan 5, 2025	Download
Comparison	Digital.ai Deploy vs GitLab	Jan 5, 2025	Download
Comparison	Digital.ai Deploy vs Red Hat Ansible Automation Platform	Jan 5, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure DevOps	4.1	38.9%	95%	130 interviews Add to research
GitLab	4.3	36.0%	97%	81 interviews Add to research

Valuable Features

"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"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."
"This product is an innovative market leader in the field of application deployment."

Room for Improvement

"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."