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.
"It is a wonderful monitoring tool that manages various aspects such as system resources (CPU, RAM), mobile performance, and infrastructure monitoring."
"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."
"The most valuable feature is the ability to take a report, and in particular, a visual, and link it to actual application performance and then the consequences. This means you can show how an incident or action has an effect on the business."
"The solution helps us provide a better user experience to our customers."
"Once you get past installation, AppDynamics is highly stable and we get good results."
"This is a stable product and we definitely plan to continue using it in the future."
"AppDynamics' best feature is automation - for example, when I add a note, it can understand the data automatically."
"The flow map is very valuable to us. Before we installed APM, we had no idea how our application looked."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"The most valuable feature of Datadog is its logs."
"Overall, the Data UI and the usability of customer features continue to improve."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"Datadog is constantly adding new features."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"AppDynamics is dealing with a lot of products and technologies, so we need to have clear documentation."
"The Log Analytics feature is a bit complicated."
"AppDynamics' modules and hardware resources are very high."
"I’d like to see better out-of-the-box visual reporting so that we can roll this up to management."
"It needs strengthening in the database tiers."
"It would help to maybe have a more graphical interface and more user-friendly graphics."
"They need to improve the consolidation of agents for the agent's installation process."
"There needs to be an option to capture all the sessions for all the users, not just samplings."
"It could probably be a little bit of a better user experience."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"Deploying the agents is still very manual."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"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."
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
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