Digital.ai TeamForge vs. Docker

CollabNet TeamForge is more well-suited for technically knowledgeable users such as developers, systems analysts, QA but not for non-technical users due to the technical data used throughout the tool. CollabNet TeamForge is appropriate for most applications development. In any industry especially suited for high demand software delivery environments.

Incentivized

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

Incentivized

• Code security.
• Code migration.
• Agile tie-in.

Incentivized

• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• I would like to see personalization for managing artifacts, that is, allowing the user to customize pages and save personalized settings and then save them as bookmarks.
• I would like an improved subversion browser such as a graphical user interface rather than a basic file explorer.
• I would like built in features for CollabNet TeamForge integrated with subversion so that i can associate my private code branches and code changes.

Incentivized

• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

Incentivized

I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

Incentivized

Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

Incentivized

Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

Incentivized

They always answer the phone when we put a call in, any time. They have consistently sent out contractors when needed and were there every step of the way when we switched over from ClearCase to TeamForge years ago. The support is what you really pay for when you buy into TeamForge.

Incentivized

CollabNet TeamForge is superior to Mercury mainly because it has a subversion change management tool integrated with the product. CollabNet TeamForge offers more complexity but with more flexibility for managing and tracking projects. I think
CollabNet TeamForge is more comprehensive than either Mercury and JIRA. They're all user friendly tools with short learning curves but CollabNet TeamForge is most efficient in my experience.
JIRA was recently adopted for particular applications and is currently being evaluated by various technology teams.

Incentivized

The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

Incentivized

It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

Incentivized

• Unfortunately, I do not have access to ROI information.

Incentivized

• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.