We performed a comparison between AppDynamics vs Datadog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: AppDynamics has an edge in this comparison because it received higher marks in the ease of deployment, pricing, and ROI categories.
"The monitoring is similar to Dynatrace."
"We're a large organization, so we appreciate AppDynamics' wide coverage. It may not work in all areas, but it has broad coverage. We can use the same dataset for different use case aspects. That is the beauty of AppDynamics. You can coordinate APM, EUM, and infrastructure through one dataset."
"Transition tracing is the most valuable is pretty easy and useful, but the user experience piece is also good."
"The features that I like best are the dashboard and Business Journey."
"From the performance management side, I like everything from business transaction work to tracking. On the database side, we can get a lot of insights from the database. On the server monitoring side, it helped us a lot to find out some of the issues on the VM side because VMs were creating a little trouble for us."
"Being able to install it on-prem and monitor our on-prem infrastructure is important for us... Most of our infrastructure is on-prem. We have highly scalable systems and AppDynamics will help us monitor our load on-prem. Our systems range from simple to the most complex and it gives us the visibility across transactions, in one dashboard."
"I have found the main feature of the solution to be its ability to analyze an application's code to see where there are issues. Additionally, it is easy to use and configure."
"Autodiscovery of application topology, based on real user traffic."
"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"The most valuable feature I have found is the elastic container service."
"Datadog has clear dashboards and good documentation."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"We can handle debugging and find out why things are breaking in our applications."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The agent deployment could be simplified by, for example, adding a GUI."
"The integration ability of AppDynamics with other performance testing tools is an area with shortcomings where improvements are required."
"Additional support for NextGen mobile platforms also needs to be high in the roadmap prioritizations"
"The worst part is that the AppDynamics SaaS Environment has a lot of downtimes, and AppDynamics, despite our efforts, does not give us any feedback on these downtimes/incidents."
"The dashboard can be better. Also, the automated reports could be improved."
"I would like to see more of a unified platform. They're very, very new on the server side, machine agents. I want them to be more mature in this area."
"I would like to see more artificial intelligence and machine learning brought in to monitor the statement and payment sum issues we have."
"There are many KPIs that are not available in AppDynamics."
"It does not have the best interface."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"The real issue with this product is cost control."
"They should continue expanding and integrating with more third-party apps."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
AppDynamics is ranked 5th in Application Performance Monitoring (APM) and Observability with 155 reviews while Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews. AppDynamics is rated 8.2, while Datadog is rated 8.6. The top reviewer of AppDynamics writes "Very good real-time monitoring capabilities, deep problem diagnosis, and transaction mapping". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". AppDynamics is most compared with Dynatrace, Elastic Observability, Splunk Enterprise Security, New Relic and SolarWinds Server and Application Monitor, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Splunk Enterprise Security. See our AppDynamics vs. Datadog report.
See our list of best Application Performance Monitoring (APM) and Observability 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.
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future. We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation. We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing. Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.
I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions. You will need additional monitoring products to capture data and feed them. Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment.
Here's a quick pro/con list on Dynatrace & New Relic from our analysis.
New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product.
New Relic Cons: Requires lots of manual configurations to implement and support. Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.
Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful. High integration of infra and APM data for full-stack observability and engineering. Topology and trace discovery is more reliable than other products or our CMDB. Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting. AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project.
Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis. Host, process, and service data is not available to query within the product. Alarm processing lacks some granular controls. The Plug-in library is less robust.
Good luck with your decision!
We are currently going through a paper-based analysis to select an Enterprise APM solution.
Our Contenders are
1. Dynatrace
2. Cisco(AppDynamics)
3. Broadcom DX-APM
Shortlisted based on existing relationships with other products and services they provide.
We discounted New Relic- despite their growing capability - as they are yet to enter the enterprise APM solution scene.
With regards to your response "We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing .." :
Will you be willing to expand on Appd - what was your experience and issues w.r.t licensing. These could help us with our evaluation. Much appreciated. Regards Adrian
Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
Thanks