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.
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 application performance monitoring is pretty good."
"Datadog helps us detect issues early on and helps in troubleshooting."
"The solution has helped out organization gain improved visibility."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"The integration into AWS is key as well as our software is currently bound to AWS."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"Our company gets quick response times and qualified responses from technical support, so that is good."
"The solution offers a better overview of applications. It offers end-to-end monitoring, and the user experience is real."
"The real-user monitoring is mostly used to gauge the difference in performance for multitenant applications, This is so we can discern if there are any local network or client-facing issues when we do a comparison between each customer. It is quite important for us to be able to identify a client-side issue, as opposed to a feature managed problem, because we're essentially providing managed services of business applications."
"The web dashboards are quite useful, good looking, and easy to use."
"It helps to improve code efficiency and has quicker performance analysis."
"When collecting data with Dynatrace, we saw every single transaction that happened in real-time."
"Dynatrace's power lies in its ability to inspect and chart transactions, and draw the PurePath tree. The parameters of the requests and methods can be selected to access the necessary information for efficient analysis."
"The most valuable features for me are the dashboard panels because they enable you to monitor multiple applications in one single site."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"Some of the interface is still confusing to use."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"This service could be less costly."
"The pricing is a bit confusing."
"Could be a little more user friendly."
"I've found that the documentation is lacking in certain regards."
"For an easy view of global and entity-specific configurations, a separate tile or pane aggregating these configurations should be implemented."
"Pretty much every month there are new features. However, its information on those new features is scarce."
"Scalability has improved quite a bit from the beginning."
"The installation process had quite a few moving parts, so it was a little tricky getting everything to work in first go."
"The licensing part is complicated or not transparent. It is very difficult to assess the number of licenses for a prospect. You have to do a PoC, and calculating the number of licenses for two years or three years is sometimes very difficult. It also depends on each case. There are multiple types of licenses. Sometimes, you need only one of them, and sometimes, you need all of them. This is an area for improvement."
"Experience with relationship/account manager has been really poor, it does not seem to be the firm's priority to support their customers."
"There continues to be some opportunity to expose the infrastructure from a broader reporting standpoint. Overall, the opportunity is in the reporting capability and the ability to more flexibly expose or pivot the data for deeper analysis. Oftentimes, the solution is good at looking narrowly at information, but when you want to broaden that perspective, that's where the challenges come in. At this point, it requires the export of data to external systems to do this."
"Every time we spin up an EC2 instance, we have to slap an agent on it and that is more work. So, if it could go agentless, that would be great."
Datadog is a cloud monitoring solution that is designed to assist administrators, IT teams, and other members of an organization who are charged with keeping a close eye on their networks. Administrators can use Datadog to set real-time alerts and schedule automated report generation. They can deal with issues as they arise and keep up to date with the overall health of their network while still being able to focus on other tasks. Users can also track the historical performance of their networks and ensure that they operate at the highest possible level.
Some of the ways that organizations can benefit by deploying Datadog include:
Reviews from Real Users
Datadog is a solution that stands out when compared to many of its competitors. It can offer organizations many advantages. Two major advantages are the dashboards that users can create and the monitoring capability that it gives system administrators.
A senior manager in charge of site reliability engineering at Extra Space Storage writes, “The dashboards we created are core indicators of the health of our system, and it is one of the most reliable sources we have turned to, especially as we have seen APM metrics impacted several times lately. We can usually rely on logs to tell us what the apps are doing.”
Housecall Pro’s senior director of DevOps writes, “We value the monitoring capability since it allows us to be pushed alerts, rather than having to observe graphs continually.”
Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.
Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:
What does Dynatrace offer?
Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:
Reviews from Real Users
Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.
Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."
A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."
Datadog is ranked 1st in AIOps with 94 reviews while Dynatrace is ranked 2nd in AIOps with 16 reviews. Datadog is rated 8.6, while Dynatrace is rated 8.8. The top reviewer of Datadog writes "Easy to set up and good UI but needs better customization capabilities". On the other hand, the top reviewer of Dynatrace writes "Allows us to monitor application performance, underlying infrastructure, and relationships with Smartscape technology". 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, Elastic Observability and Azure Monitor. 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.