Atlassian Jira is a project management tool, featuring an interactive timeline for mapping work items, dependencies, and releases, Scrum boards for agile teams, and out-of-the-box reports and dashboards.
$9
per month per user
ignio AIOps
Score 8.1 out of 10
N/A
ignio AIOps, from Digitate in Santa Clara, is a solution designed to improve business agility by creating a unified view of the IT estate, connecting business functions to applications and infrastructure. This is combined with behavior profile of systems and applications that is continuously learnt using this blueprint. ignio aims to improve the transparency of complex Enterprise IT landscapes.
N/A
Pricing
Atlassian Jira
ignio AIOps
Editions & Modules
Standard
$9
per month per user
Premium
$17
per month per user
Enterprise
Contact Sales
per year
No answers on this topic
Offerings
Pricing Offerings
Atlassian Jira
ignio AIOps
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Higher volume teams may qualify buyers for a discount.
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More Pricing Information
Community Pulse
Atlassian Jira
ignio AIOps
Features
Atlassian Jira
ignio AIOps
Project Management
Comparison of Project Management features of Product A and Product B
Atlassian Jira
7.8
35 Ratings
1% above category average
ignio AIOps
-
Ratings
Task Management
8.834 Ratings
00 Ratings
Resource Management
7.833 Ratings
00 Ratings
Gantt Charts
7.225 Ratings
00 Ratings
Scheduling
7.832 Ratings
00 Ratings
Workflow Automation
8.133 Ratings
00 Ratings
Team Collaboration
8.534 Ratings
00 Ratings
Support for Agile Methodology
8.935 Ratings
00 Ratings
Support for Waterfall Methodology
7.929 Ratings
00 Ratings
Document Management
6.929 Ratings
00 Ratings
Email integration
8.030 Ratings
00 Ratings
Mobile Access
7.125 Ratings
00 Ratings
Timesheet Tracking
7.626 Ratings
00 Ratings
Change request and Case Management
8.026 Ratings
00 Ratings
Budget and Expense Management
7.019 Ratings
00 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
Jira facilitates software development, bug tracking, and sprints. It's ideal for structured workflows, issue management, and customer communication. However, more straightforward tools might be more efficient for highly creative, unstructured tasks or tiny, agile teams with quick visual overviews. Jira's complexity can be overkill for basic task lists.
It's good for issue resolution, user access request automation, standard report generation, health checks, executing self-healing as configured in the attributes. Currently not good at real-time monitoring to trigger an action. Health checks have to be on a scheduled basis.
Integration of tools like Bitbucket, Github, etc., has made it easier to track the code changes, pull requests, and branches linked to the respective ticket.
The detailed tracking system in JIRA has helped the teams prioritize and understand the project tasks and issues.
JIRA's project tracking board helps you keep track of the project, its flow, and expectations in a structured format.
There is a lot more the desktop tool can do. For example, we need to apply an upgrade to get the tool to talk to our infrastructure while employees are working from home. The tool was initially installed with the assumption that the desktops would be in UserLand. Instead after COVID-19 the desktop/laptops have been used for over a year on people's home networks. As of right now, we have to sync when the devices are connected to VPN. Moving forward with the upgrade, we will be getting this data over TLS when they are connected to the untrusted networks.
The concept of ignio AlOps requires OCM efforts within most operational teams. This isn't necessarily the fault of the tool itself, but when implementing ignio, or any AIOps tool, the team will get a lot of pushback as an outside team is centralizing the operational improvements. The tool should have a centralized intake process that will allow the collection, ranking, and management of automation opportunities. ignio AlOps should then simulate the proposed efficiencies from implementing something within the backlog. Right now a lot of local teams are having a hard time getting on the same page as the enterprise teams, and a common methodology for prioritizing (even if overly simplistic) would go a long way to enterprise planning.
These tools are very new and things get added to them all the time. There should be a way for the product's stakeholders and process owners to understand the additional value ignio AlOps is gaining over time.
This is because Jira Software generates a huge profit for an affordable price. Having a tool that makes team management transparent and effective is very valuable.
In addition, the renewal of Jira Software and all Atlassian tools is predictable and clear, as the prices are published on the Atlassian website and there is no pyramid of intermediaries.
The interface is simple and easy to use if you have some experience with it. Configuration is also logical most of the time. However, less experienced users tend to find themselves lost in some tasks - usually complex project configuration- but sometimes simple things, such as seeing why a user can't move issues in a workflow. Jira configuration requires a good amount of experience - and even experienced users often resort to documentation. It's a tool that's easy to use if you know what you're doing and where to find the proper documentation, but novice users tend to find it challenging.
ignio AIOps version upgrades were a heavy lift. Having to learn a new language versus an industry standard language took time. More consideration on overall internal long-term support needs to be determined.
Did not face any issues and whenever they plan maintanance they update all of us very well in advance also so in that view we are good with the product stability.
Performance is really good though it holds lot of data it loads quickly especially search operation also get the results very quickly as needed hence its good
I have not had a chance to contact JIRA's customer support. It does offer extensive documentation, although it often feels too technical for me. There is also a JIRA training app that lets you take little lessons and quizzes on different areas (e.g., JIRA basics, agile). I did find it a helpful way to teach myself.
We have built a healthy relationship with the vendor support team throughout the implementation phase, all incidents raised were resolved within the SLA without a fail
Had received training from our own internal user so it was good and also very easy to understand topics and many tasks in the UI are self explanatory and we can do by our own
One of their strong points i stheir documentation. Almost all of the basic set up needed within JIRA is available online through atlassian and its easy to find and very precise. The more critical issues need to be addressed as well and hence the rating of 8 instead of a 9.
Take your time implementing Jira. Make sure you understand how you want to handle your projects and workflows. Investing more time in the implementation can pay off in a long run. It basically took us 5 days to define and implement correctly, but that meant smooth sailing later on.
I am happy with the way team has implemented and shared the product for our organization. However, would like to see it get extended to the other line of business too.
monday.com cannot be integrated with CI/CD tools, whereas Atlassian Jira integrates with CI/CD tools seamlessly. Atlassian Jira has strong Agile and Scrum support. Coming to monday.com, it has basic agile functionality. But Atlassian Jira has a complex UI, and monday.com has an intuitive, drag-and-drop interface. Overall, Atlassian Jira provides features like Agile project management, DevOps integration, and customizable workflows.
Atlassian Jira's robust workflow automation has boosted team efficiency, shortening delivery cycles and driving a positive ROI through improved project management.
Its advanced reporting and integration capabilities have enabled data-driven decisions, aligning operations with key business objectives.
However, the steep learning curve can delay adoption, potentially hindering short-term ROI.