We performed a comparison between Azure Monitor and Datadog based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Datadog finishes ahead of Azure Monitor. Users feel Datadog gives the best visibility, better integration, and helpful, timely support. The logs and error reporting are extremely useful to conduct analysis and root cause analysis. The setup, ease of use, and flexibility with dashboard creation and reporting are just some of the things that our users like best about Datadog.
"I am monitoring all of my Azure Monitor and getting good reports. I can customize the reports to get the information I need. I am also getting emails about which AAS instances are down and everything in the system related to my services. It is easy to use, scalable, and user-friendly. Microsoft has Many guides and videos to help you understand how to create and use Azure Monitor."
"The tools for logs and metrics are pretty good and easy to use."
"For me, the best feature is the log analysis with Azure Monitor's Log Analytics. Without being able to analyze the logs of all the activities that affect the performance of a machine, your monitoring effectiveness will be severely limited."
"The solution has tons of valuable features."
"I use the solution to monitor the infrastructure and applications."
"The dashboard allows us to easily track various metrics and quickly understand the overall health of our system."
"Azure Monitor is useful because of the useful application insights and telemetry, such as metrics and logs."
"The feature that I found most valuable in Azure Monitor is its monitoring abilities. With Azure Monitor, you are able to monitor all of your cloud resources across multiple subscriptions in one dashboard and create solution-specific alerts that can trigger an email to the team responsible for that specific solution."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"The observability on offer is the most useful aspect of the product."
"Datadog helps us detect issues early on and helps in troubleshooting."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"Dashboards and their versatility are among the most valuable features."
"If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not."
"Datadog's log aggregation is really helpful since it lets me and every other engineer on my team login, view, and share logs when we need to debug our application."
"The installation step is pretty straightforward."
"Azure Monitor's integration with applications could be improved."
"Although it's not always the case, the price can sometimes get expensive. This depends on a number of factors, such as how many services you are trying to integrate with Azure Monitor and how much storage they're consuming each month (for example, how large are the log files?)."
"The biggest one is probably just the user interface. There could be more advanced logging at the database level. They can also improve their query builder to allow you to search for things better, but I last used it about a year ago. They might have already changed a ton of things in the newer versions."
"They can simplify the overall complexity since you have multiple data sources in the cloud for monitoring. It's quite simple, but there are so many portals. It takes time to work with it. If they could simplify the user configuration, that would be good."
"We cannot use AI services with the solution."
"The monitoring of Kubernetes clusters needs improvement to be on par with competitors."
"n comparison to New Relic, which I've used before, it's a bit more complicated. It's not as easy to use. It also took some time to get it working. The implementation needs to be simpler."
"The query builder could be better. In comparison to other monitoring tools, in order to use Azure Monitor, your engineers need to have KQL experience. If they don't, it's not intuitive as a system."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"We need more integration functionality, including certain metrics integration."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"Geo-data is also something very critical that we hope to see in the future."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"Could be a little more user friendly."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
Azure Monitor is ranked 5th in Cloud Monitoring Software with 44 reviews while Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews. Azure Monitor is rated 7.6, while Datadog is rated 8.6. The top reviewer of Azure Monitor writes "A powerful Kusto query language but the alerting mechanism needs improvement". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". Azure Monitor is most compared with Dynatrace, Sentry, Prometheus, Grafana and New Relic, whereas Datadog is most compared with Dynatrace, New Relic, AWS X-Ray, Elastic Observability and AppDynamics. See our Azure Monitor vs. Datadog report.
See our list of best Cloud Monitoring Software vendors and best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Cloud Monitoring Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.