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.
"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"Dashboards and their versatility are among the most valuable features."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The most valuable aspect of the solution is the APM."
"I don't have to worry about upgrades with the AWS version."
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"The observability on offer is the most useful aspect of the product."
"No one else works with security gateways. I am able to configure those perfectly well within the banking and FDIC infrastructure to pass audits."
"I like the auto email alerting feature the most, as it is set up based on the application error or condition."
"Whether it is the server, database, network, or application, Dynatrace provides a consistent unambiguous view of performance."
"Provides more insight into detecting what the problem is with some of our applications."
"The visibility that it provides is most valuable."
"The initial setup was straightforward. The documentation and the university helped on Dynatrace."
"It has an integration with ServiceNow, which is great. Dynatrace creates tickets for things and its AI finds root cause. We have integrated that with our ServiceNow to generate events and incidents, so that all of our event management will be done in the ServiceNow Developer."
"Customers are looking at our site, every second, constantly. They're able to do that because, if for some reason it goes down, I can instantly get it back up, because I know what needs to be fixed. In the past, before having the tool, we were being notified by the brand, or the brand manager, "Hey, customers are complaining that our site is down." And then there was me, as a developer, trying to track down what was causing this issue. With Dynatrace, it's right there in front of me, it's a JavaScript error, or something I can narrow down."
"The real issue with this product is cost control."
"The ease of implementation needs improvement."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"The solution needs to integrate AI tools."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"More granular control over dashboard sharing. Timeboard sharing."
"I've found that the documentation is lacking in certain regards."
"Dashboards are too clumsy, so it is good to keep less on dashboards and be easier to find the sections."
"In the next release, I would like to see some new reports and more tiles on the Dashboard."
"We would like to see more third-party tools for training."
"PurePath exports was a great feature in AppMon, but it is sometimes missing in Dynatrace."
"Need better mapping to true business service rather than purely technical monitoring."
"The solution's ability to assess the severity of anomalies based on the actual impact to users and business KPIs is great. In my opinion, it could be extended even more. I would like it to be more configurable for the end-user. It would be nice to have more business rules applicable to the severity. It's already very good as it is now. It is based on the impact on your front-end users. But it would be nice if we could configure it a bit more."
"Mainly navigation needs improvement. It is easier to follow a flow. Following the flow of the admin now is not easy."
"sometimes it happens that we are not able to capture things. For example, if a person is logged in from India, from the city of Mumbai, and is using a Chrome browser, and his email ID is xyz@abc.com. But what happens is, Dynatrace just fetches two pieces of the information, not all of it. Sometimes it gets it all, sometimes it doesn't."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 341 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, Elastic Observability and AppDynamics, 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 Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Container Monitoring 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.
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.