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.
"It's a Microsoft native tool, so it works well with other Microsoft technologies, which is predominantly what our customer end-user base is."
"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."
"The most valuable feature is that it ensures our servers are up."
"Azure Monitor is useful because of the useful application insights and telemetry, such as metrics and logs."
"It is a robust, stable product."
"I am impressed by the reporting on the average eight ports that we get from this solution."
"Among the valuable features of this solution, Application Insights stands out as one of the most significant. It provides insights into application performance and helps identify issues and bottlenecks."
"We like this searchability and availability of the data."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"Dashboards and their versatility are among the most valuable features."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"The integration into AWS is key as well as our software is currently bound to AWS."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"The solution should have cross-connection or cross-communication between tech partners."
"If it is configured incorrectly, you can end up with a huge bill."
"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?)."
"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."
"There are a lot of things that take more time to do, such as charting, alerting, and correlation of data, and things like that. Azure Monitor doesn't tell you why something happened. It just tells you that it happened. It should also have some type of AI. Environments and applications are becoming more and more complex every day with hundreds or thousands of microservices. Therefore, having to do a lot of the stuff manually takes a lot of time, and on top of that, troubleshooting issues takes a lot of time. The traditional method of troubleshooting doesn't really work for or apply to this environment we're in. So, having an AI-based system and the ability to automate deployments of your monitoring and configurations makes it much easier."
"Automation related to gathering metrics from more applications could be improved."
"The solution needs better monitoring. It requires better log controls."
"have used multiple products like Webex and PRTG. Some features could be added. Azure Monitor should add SMS and APIs. We have very limited access to Azure Monitor. I usually get alerts on my phone when they are integrated with Slack. I am not always available, but my team is. Sometimes, I am traveling and don't have access to my email, but I have Slack and other third-party projects that send me instant messages if a sensor goes down."
"We'd like Datadog to make the log storage cheaper."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"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."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"This service could be less costly."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"We would like to see smaller or shorter tutorials and video sessions."
"The on-premise version is very difficult to upgrade."
Azure Monitor is ranked 4th in Application Performance Monitoring (APM) and Observability with 44 reviews while Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 136 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, Prometheus, Sentry, Grafana and New Relic, whereas Datadog is most compared with Dynatrace, New Relic, AWS X-Ray, AppDynamics and Elastic Observability. See our Azure Monitor vs. Datadog report.
See our list of best Application Performance Monitoring (APM) and Observability vendors and best Cloud Monitoring Software vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.