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
Datadog
Score 8.6 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
Pricing
Atlassian Jira
Datadog
Editions & Modules
Standard
$9
per month per user
Premium
$17
per month per user
Enterprise
Contact Sales
per year
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Offerings
Pricing Offerings
Atlassian Jira
Datadog
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Higher volume teams may qualify buyers for a discount.
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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.
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
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.
The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
I would appreciate more supportive examples for how to filter and view metrics in the explorer
I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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.
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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.
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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.
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.
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
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.
