Digital.ai Deploy and Microsoft Azure DevOps both offer deployment solutions, though Azure DevOps is perceived as having a broader feature set due to its comprehensive capabilities which are seen as justifying its cost.
Features: Digital.ai Deploy emphasizes release automation, scalable environment management, and intricate configuration control, well-suited for complex deployment workflows. Microsoft Azure DevOps integrates development tools, Azure services, and offers a robust toolset with Azure Boards, Pipelines for DevOps automation, and test management.
Room for Improvement: Digital.ai Deploy could improve in simplifying its complex deployment model and enhancing its pricing structure for smaller enterprises. Microsoft Azure DevOps might benefit from improving integration scenarios with non-Microsoft products, enhancing customer training, and expanding its feature set for custom deployment scenarios.
Ease of Deployment and Customer Service: Digital.ai Deploy has a complex model suited for skilled IT teams, with strong customer service. Microsoft Azure DevOps offers a straightforward deployment process, excellent integration with Microsoft tools, and extensive customer support, often praised for its simplicity and cohesive environment.
Pricing and ROI: Digital.ai Deploy involves higher setup costs but offers favorable ROI for large-scale operations needing complex automation. Microsoft Azure DevOps provides an approachable pricing model, balancing competitive costs with a high return on investment through its integrated ecosystem.
On a scale of one to ten, where ten is the best, I would say ROI is an eight.
Resolving issues took time since understanding our unique problems was not always straightforward for support teams.
The scalability has left me pleased, not just for our teams in Europe, the Middle East, and Asia, but as we expanded into North America, Africa, and even Australia.
The solution is stable, and we did not encounter any stability issues.
Those processes are a bit difficult for some customers who may not have technical knowledge and don't go through the entire documentation.
Enhanced system guidance highlighting best practices would be beneficial, especially if experienced personnel are not available for support.
They don't even provide a POC where you can have a sandbox or stuff that you can go through and see how exactly it's costing.
I find it to be expensive.
Our company organized a training session with a certified Azure expert, which was extremely beneficial for adopting best practices during the initial three months.
I can't approve my own request and move the code around without a review.
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.
Microsoft Azure DevOps is a cloud service that enables developers to collaborate on code development projects and create and deploy applications quicker than ever before. The service helps unite developers, project managers, and software development experts through a collaborative experience while using the application. For the users' convenience, Azure DevOps offers the user cloud services through Azure DevOps Services or an on-premises service using Azure DevOps Server. In addition, it supports integration with additional services and adding extensions, including the ability for the user to create their own custom extensions.
Azure DevOps provides a variety of unified features that can be accessed through their web browser or IDE client, such as:
Benefits of Microsoft Azure DevOps
Microsoft Azure DevOps offers many benefits, including:
Reviews from Real Users
Microsoft Azure DevOps stands out among its competitors for a variety of reasons. Two major ones are its ability to forecast how long each task will take and the ability for users to follow the entire development process.
PeerSpot viewers note the effectiveness of this solution. An executive chief operating officer for a cloud provider notes, “We can forecast tasks and the number of hours a task will take and can compare it with how long a task actually takes.”
Carlos H., a product and system director at SPCM, writes, “I think the most usable thing is that you can follow the whole progress of the development process. This makes it very useful for us.”
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