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 #11 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 77% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 41% of all views.

Helped 842,388 peers since 2012

Featured Digital.ai Deploy 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 March 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 based on Digital.ai Deploy reviews

Type	Title	Date
Category	Release Automation	Mar 26, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 26, 2025	Download
Comparison	Digital.ai Deploy vs Microsoft Azure DevOps	Mar 26, 2025	Download
Comparison	Digital.ai Deploy vs GitLab	Mar 26, 2025	Download
Comparison	Digital.ai Deploy vs Red Hat Ansible Automation Platform	Mar 26, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure DevOps	4.1	37.7%	95%	132 interviews Add to research
GitLab	4.3	35.1%	97%	82 interviews Add to research

Valuable Features

Digital.ai Deploy excels in repeatability of complex deployments and integration with diverse servers, offering extensibility via plugins. It enhances deployment accuracy, speed, and visibility, providing a one-click process and agentless operations. The tool supports automation, scalability, and flexibility, ensuring compliance and user-friendly UI. Collaboration is streamlined through a manifest file, allowing developers, operations, and sysadmins to work together efficiently. Users appreciate its capacity to manage applications across varied network segments.

"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

Digital.ai Deploy users highlight several areas needing improvement. The reliance on Adobe Flash for the GUI is cumbersome and lacks visualization for complex pipelines. Users also request better reporting, documentation, and a streamlined setup process. Plugin backward compatibility issues, platform packaging, and logging are concerns. There are performance issues following the Digital.ai acquisition due to personnel losses. Supporting new platforms promptly and enhancing technical support are also prioritized by users.

"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."

ROI

Businesses anticipate a return on investment within two years with Digital.ai Deploy. They experience a tenfold velocity increase, a fiftyfold reduction in deployment rework, and operate with six fewer employees. ROI takes a backseat to predictability for many. With multiple environments standardized, efficiency improves drastically. Cost savings arise from reduced specialist reliance and minimal training hours. Users find these factors contribute to a swift and efficient investment return, although precise calculations are often unmentioned.

Pricing

Digital.ai Deploy users describe setup costs ranging from €120,000 to €170,000, noting licensing as a one-time perpetual cost. Daily maintenance costs approximately €500 for two hours with two persons. Licensing is also available via annual subscription, and volume discounts are offered. Users emphasize significant ROI, expressing that the product’s pricing is acceptable.

"The product’s pricing is acceptable. We get volume discounts."
"Pricing costs are based on annual subscriptions."

Service and Support

Customer service and technical support of Digital.ai Deploy receive mixed feedback. Many find customer service prompt and technical support responsive, knowledgeable, available 24/7, and accessible via live chat and forums. However, some rate both at medium levels, stating a need for improvement. There are reports of slow response times and dissatisfaction among users. Others disclose limited interaction with support services or never utilized them.

Deployment

Users had varied experiences with Digital.ai Deploy's initial setup. Many found it straightforward, requiring minimal time to complete with simple unzip and start procedures. Some faced challenges with complexity, especially in multi-system environments. The process benefited from previous experience, speeding up deployments faster. Automation simplified ongoing maintenance, often requiring part-time involvement. Container deployment further eased management. In certain cases, users were not involved in the initial setup process.

Scalability

Digital.ai Deploy generally handles scalability well, with most users not facing issues. It's noted that the system operates effectively even without specific scalability features and allows many users to adapt quickly. Administration is recommended in certain environments, but companies report ease of scaling simply by installing additional agents. Some concerns were raised about single points of failure and proprietary packaging, although many appreciate its adaptability and user-friendly nature, anticipating further growth.

Stability

Digital.ai Deploy is often praised for its stability, as many users report no downtime and satisfactory performance. Some note minor issues with performance, particularly during large deployments, though these are manageable with proper scheduling. Occasional challenges arise, such as difficulty reinstalling or removing packages, but these do not significantly detract from overall stability. Ratings typically hover around eight out of ten, indicating users' general satisfaction with stability and reliability.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Digital.ai Deploy Buyer's Guide for additional reliable information.