Datadog vs. Linear

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.

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Linear is particularly well suited for teams that need a fast, intuitive way to organize and prioritize work across multiple projects. In my experience, it's been especially useful for tracking client work by priority, assignee, and project, while providing clear visibility into ownership and progress. Its clean interface makes it easy.

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• 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.

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• Linear agent.
• Quick glance at current status of tickets.
• Allow customization to view only the relevant tickets and information for each user.

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• 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

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• Linear is missing documentation features like Jira Confluence. We can use Notion but it would have been great if Linear offered more comprehensive solution
• Eventhough we can manage releases with projects, it is hard to manage them when there are multiple projects being released at the same time. The initiatives feature kind of handles this but if we can assign tasks to a release that would be awesome
• Being able to invite guests without costing extra money. Platforms like Clickup allow you to invite a limited no of guests without costing extra money.
• Linear is not good if you are software services company and want to manage multiple client projects. Linear is built for product teams.

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Definitely will not revisit after our issues and, in my opinion, poor support.

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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.

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I already spoke to this in a previous question but, if you've ever used Jira, Linear should feel quite natural. It is a project management tool rooted in issues/tickets to which you can also add sub-tasks and various details. There is some customization but Linear has attempted to shape its offering as the most essential features necessary for this type of work.

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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.

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Documentation was difficult to work through, rollout was catastrophic (completely outage)

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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.

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When we are using jira it felt light the application itself is very heavy usage and the UI feel like boring and features were not good as compared to Linear. As QA when shifted to Linear i felt huge difference in process of ticket creation and tracking compared to jira and sometimes Jira would get stuck, but Linear didn't.

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• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

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• Improved visibility into work across clients by providing a centralized view of tasks, priorities, and ownership.
• Increased team efficiency by replacing scattered personal task lists with a shared workflow.
• Helped prioritize high-impact work by organizing tasks by clients, priority and assignee.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info