We compared Datadog and Dynatrace based on our users reviews in five parameters. After reading the collected data, you can find our conclusion below:
The setup process for both Datadog and Dynatrace is generally seen as simple and uncomplicated. However, Datadog might necessitate some fine-tuning or the involvement of multiple teams, whereas Dynatrace is regarded as faster and easier to implement. Additionally, Dynatrace only requires a minimal deployment and maintenance effort, usually handled by one or two individuals even in larger settings.
Datadog offers useful features like customizable displays and data analysis, error tracking and log management, developer-friendly interface, and adaptable AI and ML capabilities. In contrast, Dynatrace excels in effortless setup, automatic infrastructure identification, intelligent problem detection, session playback, and comprehensive visibility and monitoring.
- Room for Improvement
Based on the feedback, Datadog could enhance its usability, integration capabilities, user interface intuitiveness, learning curve, monitoring of external websites, SSL security, and setup complexity. In contrast, Dynatrace could improve its user interface for management functions, handling of time zones, installation process, integration with network management tools, licensing process, documentation, and network performance monitoring.
Users have differing opinions on the setup cost of Datadog, with some finding it costly while others find it reasonable in comparison to other options. However, the pricing model lacks documentation and is confusing. In contrast, Dynatrace's pricing structure is complicated and not transparent, making accurate planning difficult. Despite being generally expensive, it provides good value for the money.
Users have reported experiencing various benefits when using Datadog, including time savings and the ability to identify and address blindspots. On the other hand, customers have found Dynatrace to be highly advantageous in terms of return on investment, with cost savings and reduced downtime being key outcomes.
The customer service and support for Datadog and Dynatrace have varying feedback. Some users appreciate the promptness and helpfulness of Datadog's support team, while others have experienced slow or unresponsive support, especially in the Asia-Pacific region. In contrast, Dynatrace generally provides responsive and available customer service, although some customers have encountered slower response times. Dynatrace's support team is praised for giving valuable answers, and they have a highly regarded customer success program called Dynatrace ONE. However, there is a need for improvement in terms of response time for both platforms.
Comparison Results
When comparing Datadog and Dynatrace, Datadog is regarded as simpler to set up and provides more flexibility and extra features. Users appreciate its dashboards, error reporting, user-friendliness, and the wide range of integrations it offers. On the other hand, Dynatrace is praised for its effortless deployment and automatic infrastructure detection, as well as its AI engine and visualization capabilities. However, users mention that improvements could be made to Dynatrace's user interface, licensing process, and documentation. Pricing and ROI experiences vary among users for both products, and customer service and support are generally satisfactory, with some room for enhancement.
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"It has enhanced the performance of my team."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"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."
"Excellent autocomplete for everything in the UI."
"The solution has helped our organization with custom events to track specific cases."
"We can handle debugging and find out why things are breaking in our applications."
"It can give a quick overview of the current health status, end to end, and can quickly point to the root cause if there an issue or problem in one of our applications."
"We can see each session, end-to-end, and discover issues."
"The technical support has always been responsive."
"It provides a better understanding of what is going on."
"It prevents (together with performance testing) production performance issues which usually result in customer complaints or system downtime."
"We have improved performance by 50% and determined conflicts in the application to eliminate errors."
"In my experience, Dynatrace is scalable."
"One of the key things with Dynatrace is that they are very open to influence on product development side. So, we've influenced them fairly heavily on development and capabilities for Citrix and DC RUM. They've given us integration and support components around some odd technologies that we've got, and they have always been very open and accommodating to going after and developing capabilities around the stuff that we are looking for."
"There is occasional UI slowness and bugs."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"We need more advanced querying against logs."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"Datadog could have a better business analysis module."
"Datadog could be improved if it could detect other software in a container or server."
"It does not have the best interface."
"It can be overwhelming for new people as it has a lot of features."
"I did like the old dashboards, the legacy 6.3 for example; the way we were able to do the dashboarding in the client. I would like to be able to see that in the new version of Dynatrace."
"Due to the fact that you doing a lot, you have a problem with the learning curve. We're really looking for ways to make this product more accessible."
"Needs more compatibility of platforms out-of-the-box."
"DevOps plugin monitoring tools need improvement."
"A tutorial could be embedded in the system as it is hard for a beginner to start using Dynatrace straight away."
"The user interface needs to be improved."
"Searches should be faster."
"Some of the APIs and integrations are a bit tougher than others to integrate."
Datadog is ranked 1st in AIOps with 136 reviews while Dynatrace is ranked 2nd in AIOps with 340 reviews. Datadog is rated 8.6, while Dynatrace is rated 8.8. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". Datadog is most compared with Azure Monitor, New Relic, AWS X-Ray, AppDynamics and Elastic Observability, whereas Dynatrace is most compared with New Relic, AppDynamics, Splunk Enterprise Security, Azure Monitor and Elastic Observability. See our Datadog vs. Dynatrace report.
See our list of best Log Management vendors, best AIOps vendors, and best Application Performance Monitoring (APM) and Observability 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.