Digital.ai TeamForge vs. Jama Connect

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

Jama is an excellent tool for requirements management, development, and traceability throughout the development lifecycle. Jama aids in peer reviews of generated artifacts with time-boxed review cycles. Jama provides a robust ecosystem which is highly tailorable to the demands of the particular organization in which it is used

Incentivized

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

Incentivized

• Requirements Management in general
• Focus in the content without loosing the track of the evolution of the items by maintaining the exchange of information between the users inside the Tool.
• The possibilities to integrate this tool within our IT-landcape and with our other engineering tools is for us a leverage to success.

Incentivized

• 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

• The 'filtering' capabilities in Jama are not as good as they could be. In particular, the ability to "nest" filters is quite limited. I have certain seen much better capabilities in other tools. ('Cradle' is an example of a tool with excellent "nested filters" capabilities.)
• From an administrative point of view, the 'License' admin view is pretty disappointing. The particular thing that I'd like to be able to find out from it is the peak number of 'Float Creator' licenses in concurrent use on each day. If there's a way to get to that information, I haven't found it yet.

Incentivized

Jama is really easy to use and operate compared to other tools. This allows a process owner to get easier buy-in from the organization to see value early. My experience with this tool was very positive and we were able to see value early in its introduction

Incentivized

Jama is mostly designed for requirement gathering, but that can be possible using JIRA if we add only approval type of plugin for special requirement types. Jama's performance and features do not improve on a periodic basis i.e. with each release. Even bug fixes take a lot of time and they don't care about customer impact.

Incentivized

Jama is available most of the time if it is used within the application's boundary. Jama has very good availability if we use very high hardware servers. Sometimes we face issues if there are batch operations running.

Incentivized

With performance compared to JIRA, I do recommend Jama in this case. Jama provides very good performance, it loads immediately for any of the items and searches any item immediately. Performance is really good in all of the operations including creating stories, epics, item types or other support operations or report generation.

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

They typically answer within minutes of posting a ticket, and then you have a clear expectation of what the issue is, how to diagnose it, how long will it take to get resolved, and in which version a given problem is resolved, or if there is a patch for hosted services. They have a number of support people, and all of them are top-notch.

Incentivized

Jama 2015.5 implementation is very smooth and no need for much manual work. Jama 8 has many challenges and we can not install it as smoothly as Jama 2015.5. Initially, Jama didn't provide the Jama 8's installer files or zip files and they were just providing docker files to everyone (which was really strange). It is the worst that they don't provide all the files at a time. Why should they tell us where we should deploy, and why only a dockerfile? I am not very satisfied with Jama implementation.

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 major sellingpoints of Jama were the review-system for internal and external reviewers and the inclusion of (Use Case) modelling tools, while keeping the core requirements-centric. Ability to synchronise with currently in use test-tooling and the low learning curve were additional selling points. Availablity of support in our local language was much appreciated as well.

Incentivized

There is no horizontal scalability available in Jama, we have only one choice to scale it vertically. But vertical scalable applications always have limitations to grow. In this case, Jama doesn't support horizontal scalability functions like multi-node architectures with a shared drive for the home directory.

Incentivized

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

Incentivized

• Made it easier to know what I'm responsible for, from a work task perspective.
• Allowed leads/managers to assign work in a more educated manner by seeing workload, etc.
• Allows clear deliverables and more accurate work estimates, since we can look back at previous examples (assuming there are some).

Incentivized