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 network map is crucial in identifying bottlenecks and determining what needs more attention."
"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 solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"Dynatrace helps us to improve overall performance and allows us to detect the root cause of an outbreak on our systems."
"Integration with other tools in company using SNMP traps."
"Triggering gives us warning that system is getting slow and we need to nail down the issue soon, so it does not impact our business."
"It is easy to see what areas you want to alert on and catch."
"The full stack - Everything from the browser, all the way back to the database, and being able to see everything, and really narrow in very quickly on what is the root cause."
"The most valuable things that we have seen are the user experience and capturing what the users are doing inside the browser."
"Comprehensive suite of solutions that can address all aspects of applications from dev to ops."
"For stability, our customers have no complaints."
"We need more visibility into the error tracking dashboard."
"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."
"The real issue with this product is cost control."
"The documentation leaves a lot to be desired for new users."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"It can be overwhelming for new people as it has a lot of features."
"It seems that admin cost control granularity is an afterthought."
"Billing should be more transparent."
"Ability to better identify SDQ script errors would be helpful."
"I'd like to see self-healing and I'd also like to see more automation. It looks like is that's the direction Dynatrace is heading in, in their Dynatrace product."
"I would like to see AppMon also integrated in the Dynatrace portal. There are certain features, which I am not saying are not there in Dynatrace, but I am used to in AppMon."
"We would like to see more dashboarding capabilities and the ability to export custom reports."
"They need a capability similar to Tealeaf where you can actually view what the consumer is doing and record the sessions. That is the biggest missing element."
"We ran into a problem where the Dynatrace JavaScript agent is returning errors, and it's very apparent that there's a problem. However, the customer support will ask us for seemingly unnecessary details instead of looking at our dashboard through their account to see what the problem is. They ask us for a lot of details not really related to solving the problem. As a result, we still have a few issues that were never resolved. They're not major issues, but they're kind of frustrating."
"Experience with relationship/account manager has been really poor, it does not seem to be the firm's priority to support their customers."
"The product could be faster and lighter, especially the rich client which uses many resources."
Datadog is ranked 1st in AIOps with 137 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.