Datadog vs. SonarQube for IDE

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.

Incentivized

• 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.

Incentivized

• SonarLint highlights all the issues in our codes and also displays the severity of each issue.
• SonarLint also provides suggestions for how to fix those code issues which are highlighted.
• SonarLint starts the processing of the file as soon as it is opened and highlights all the issues which it found.
• When we fix the issue, we don't even need to create a new build or generate fresh code quality report, as soon as we save the file with the changes, it does the processing again and shows the result if the issue is fixed or not.
• SonarLint saves a lot of time and effort by saving us from doing fresh build every time and generating new code quality report every time, thus increasing the efficiency and output which is in return beneficial for the client.

Incentivized

• 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

Incentivized

• Sometimes, SonarLint does not highlight the issues in the code correctly.
• The severity of the issues highlighted is according to the default rules set, we should also be given authority to set the severity of the issues.
• The default fixes which SonarLint provides should be more enhanced and there should be more fixes available.
• Sometimes it takes a lot of time for processing of the file when any new file is loaded or changes are saved in a file.

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

SonarLint works along with SonarQube

Incentivized

• 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.

Incentivized

• SonarLint helps in achieving all the business requirements in a more efficient way.
• It reduces the manual and redundant work which we would have to do else every time if we did not use SonarLint.
• SonarLint helps in maintaining code quality, and thus also highlights the loopholes for the cyber attacks and phishing attacks.
• SonarLint makes work easy and helps the developer to invest less time in manual work thereby increasing their capacity to deliver the maximum output to the client.

Incentivized