We performed a comparison between Datadog and Dynatrace based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: We conclude that Datadog edges out Dynatrace by a very slim margin. 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.
"The breakdown of the response time of different components and getting in-depth details of the slow component are the most valuable features. It is easy to use, and it gets the job done."
"The stability of New Relic APM is very good."
"There are many valuable features in New Relic APM. We developed some software applications and we are able to monitor the errors very easily. Their log security retention is very good."
"The most valuable features are the dashboards and tracing."
"The most valuable feature is application monitoring."
"The simplicity of the dashboard is very good."
"The most valuable feature is the ability to receive in-depth information about applications. It can detect a lot of important information."
"To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you get the overall response time, which is pretty helpful for developers and ADR techs looking into issues on a deeper level. New Relic APM is a very good, tailor-made solution."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"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."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"The most valuable features are ease of deployment, UI, and collected data. Its deployment is really easy. In just a few hours, you can have a very good outcome, and you can see everything, which is very valuable. It collects a good amount of data."
"With the Agentless monitoring and ability to create custom plugins, we've been able to transform the tool not just into a great APM solution but a really good enterprise monitoring solution too."
"Smartscape is a valuable feature. They also have a technology named PurePath. PurePath is the distributed tracing data."
"Technical support has always been quick to respond."
"It is really comfortable and easy to use for application monitoring. We are able to see and go deep into the problem. We didn't have any issues with this product."
"We like the on-premises platform and the horizontal scalability."
"The solution has a very good user interface."
"It is useful for analytics, web performance, end-to-end coverage of a user experience, and database analytics. It is absolutely a monitoring tool that is worth having. The visibility that it provides is a unique feature of this product."
"The solution could improve by having more network monitoring features, such as for all the infrastructure."
"I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment."
"It is a serious tool and requires a lot of time invested in order to understand how it works."
"New Relic APM could improve error debugging and the correlation with the logs. We are receiving some alerts or alarms but we need to correlate with the error log, but it is difficult if it is more than seven months retention period, it is hard to trace. We need this especially for getting historical information."
"The solution is quite expensive."
"New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."
"I haven't come across any features that are lacking."
"They should bring the pricing down to be more competitive."
"I'd like to see better pricing and more integration in the next release."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"I've found that the documentation is lacking in certain regards."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"We need to learn more about the session reply feature inside of DD."
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"They're doing vulnerability assessments of the application stack by using OneAgent. It's a never-ending story if you are trying to be sure your application is also secure."
"The documentation of Dynatrace needs to be improved. There needs to be a more detailed description and additional examples for background understanding for beginners trying to use it."
"An area for improvement would be security. In the next release, I'd like to see more network-centric capabilities - Dynatrace is good at the network level, but I have to leverage other network solutions and integrate with them, but a holistic approach including the network as a one-stop-shop would be great."
"Dynatrace could be improved by having a fully functional applications and infrastructure monitoring feature. Their existing stack, which is SNMP-based, does not have full infrastructure monitoring, whereas if we compare it with other solutions like New Relic or Datadog, they have moved into infrastructure monitoring. The second improvement I would suggest is in regards to the cost. So far, Dynatrace is the most expensive APM that we sell, even compared to New Relic. I think they can improve a little bit in terms of the license pricing."
"I would like a testing module focused on quality gates."
"The solution could improve by allowing more dashboards customization. This would allow us to monitor the metric better."
"I think they're working on even more integration from external third party input, but that is ongoing. So the faster it's there the better. Clock monitoring is one of these areas where improvements can be made."
"Its infra monitoring is not that good. They are mainly into the APM environment, such as network monitoring and other things. Strong end-to-end infrastructure monitoring is missing. SNMP monitoring is currently not very good in this solution."
Datadog is ranked 1st in AIOps with 101 reviews while Dynatrace is ranked 2nd in AIOps with 33 reviews. Datadog is rated 8.6, while Dynatrace is rated 8.8. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of Dynatrace writes "Good executive-level dashboards with powerful automation and AI capabilities, but the management interface could be more intuitive". Datadog is most compared with Azure Monitor, Amazon CloudWatch, Splunk, Elastic Security and AppDynamics, whereas Dynatrace is most compared with AppDynamics, Splunk, Azure Monitor, Elastic Observability and Instana Dynamic APM. See our Datadog vs. Dynatrace report.
See our list of best AIOps vendors and best Application Performance Management (APM) vendors.
We monitor all AIOps 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.
We also selected Dynatrace but for different reasons.
We were looking for a solution that integrated user experience to backend systems. The RUM data captured by Dynatrace and integration to the transaction trace is phenomenal.
Datadog was lacking in the APM space when we evaluated and was very limited specifically in real user monitoring.
I've seen an early preview of Dyantrace's latest logging capabilities and can say I'm very excited, to say the least. The solution is automated and traced. For a comprehensive solution to improve observability and reduce outage times we are very happy with Dynatrace.
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network monitoring capabilities that take into account their users’ need for the most in-depth and accurate information and solutions. It offers analysis powered by a cutting-edge and fully automated AI. This artificial intelligence is designed to spot in real time any issue that might appear in the network on both the code and the infrastructure levels. Network administrators will be offered an in-depth analysis of the issue. The report will show the nature of the problem, where in the network it can be located, and potential solutions that can be implemented. Dynatrace’s real-time reporting significantly cuts down the response time of administrators to issues.
Datadog’s network monitoring software does not offer AI reporting or analysis. While it does offer features that enable users to track issues in their networks, it does not offer anything that is as robust and in-depth as Dynatrace’s fully automated AI. Administrators have to go and constantly monitor the network for issues instead of receiving automatic notifications that can direct them to the problems at hand.
Dynatrace’s dashboards can take the data that the AI collects and lay it out for the administrative or executive teams in clear ways. It is easy to customize these dashboards according to what you need. In fact, the creation of dashboards is now automated. You tell the software what you want to see and it will build the dashboard for you.
Datadog offers dashboards that provide near real-time visibility. They track the health of the network applications and provide indicators of the network’s overall condition. These dashboards are somewhat easy to create. However, they lack the automation that Dynatrace provides.
Conclusion
While Datadog offers a solution that can provide effective network monitoring, Dynatrace’s features make it a better option. Its AI and automation make it a far more effective product.