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.
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"Profiling has been made easier."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"The solution has helped our organization with custom events to track specific cases."
"It has enhanced the performance of my team."
"It has a nice UI."
"Datadog dashboards are pretty great."
"Excellent autocomplete for everything in the UI."
"We obtained a better insight into our environment and consolidated a lot of our old apps into one app."
"The product installs quickly and immediately. It begins to learn the architecture of the systems which need to be monitored. It then learns what “normal” looks like, so there really is no need for manual configuration."
"Provides bespoke dashboards and reports which help our business to grow."
"We like the alerting feature. For example, my applications are going out on some thresholds. So I get alerts, according to the thresholds I set. I get that data via emails as notifications."
"Support is very transparent in issues, what they need to do, and how they need to fix certain issues and problems."
"Through end-user monitoring, we were able to measure the user's perceived performance and build an SLA based on that information."
"The dashboards are a really cool feature when I get to talking to clients. I ask them, "Why Dynatrace?" Because I need to push the tools that I have in my application. Then, they explain the monitoring of Dynatrace, saying the rate of the updates and features. They want to go with Dynatrace."
"My primary use of the tool is to keep revenue coming into the business and to use it to help our business team in running their site analytics and web performance tools. They have things like Adobe Analytics that provide them with one layer of data. We use Dynatrace as another railroad metric to both confirm the Adobe Analytics data and enhance it in certain places where Adobe won't give us the answers that we need. In terms of metrics, we've had roughly about 120,000 unique sessions per hour on our website. So, we're capturing a lot of session data and real user data, and all of that data is kept in user sessions. We can look this information up by user ID to tag any given session that we want to find by date/client. E.g., if the user said that they had an issue last Thursday at 11:00 PM, then we can just do a search on their email address, go through all their sessions, and find the one that they mentioned, then dig directly into that one."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"Datadog could always lower the price!"
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"Datadog could be improved if it could detect other software in a container or server."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"Dynatrace has been difficult to set up and use to diagnose problems in the past due to the complex nature of the tool."
"As the product is evolving quickly and product features are added on a monthly basis, a more transparent roadmap would be more than welcome."
"UEM (User Experience Management) works great for web clients and Android and IOS apps, but for other rich clients it's a lot more challenging."
"I would say it's not scalable, because we've had to move large applications that were in a shared environment to their own separate Dynatrace server instance."
"The challenge with AppMon is, what if you don't have an AppMon agent on a host, but it talks to the database. It talks to it, but I don't have either a host agent or an AppMon agent on it. That has been a challenge, but I believe the Dynatrace agent, the OneAgent, will solve that, potentially."
"I would love to see a better data export, because AppMon's charting capabilities leaves a lot to be desired. You have about a 5,000 line limit. I would really like to see the ability to export, in Dynatrace and AppMon, in essentially in a nice format of whatever you want to whatever else."
"One thing that I would like to see is for companies like us - large AppMon customers that have a lot of presence in AppMon, a lot of manually configured things and customizations - would be something that would help us be able to make that journey more easily, the transition from to AppMon to Dynatrace."
"We're thinking about moving to Dynatrace because AppMon is not scaling for us."
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.