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.
"I like how the AppDynamics dashboard portrays the information flows. When a task is executed, various flows between different applications and databases happen in the background. The dashboard is intuitive and helps visualize the connections, the directions of the flow, and the information related to these specific sessions."
"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."
"Despite dozens of deployments across hundreds of applications- we have yet to see a case where AD is negatively impacting application execution or functionality."
"I like that AppDynamics allows every organization to have what they want to see, like for my organization, we're able to customize the dashboard to show us details of what we want to see in our transactions."
"Capacity planning is, in my opinion, the most useful."
"The solution helps us save a lot of time on certain tasks."
"We are able to correlate performance between tiers."
"The business transaction that stands between multiple applications is proving to be most valuable."
"Datadog has so far been a breeze to use and set up."
"The platform appeals to companies spanning many industries on a global scale."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
"Datadog has given us near-live visibility across our entire cloud platform."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"Straightforward to integrate and automate."
"I would like to see more artificial intelligence and machine learning brought in to monitor the statement and payment sum issues we have."
"When you have high stress of visits I do not know if you are more stress because of the amount of visits or because you have to wait eternal 60 seconds to find out it things are going well or you already have mess."
"The integration with cloud services is still pending with AppDynamics. We would like the product to be serverless."
"The GUI can be overwhelming at first to a novice Dev or Ops support person, and the possible root causes of an issue do not bubble up to the first screen you see."
"We would love to see support for more types of agents in the mainframe world."
"AppDynamics is a solution that requires extra learning and could be more user-friendly. Additionally, automated reports would helpful similar to have they have in Google Analytics."
"The UI could use a little help."
"There are many KPIs that are not available in AppDynamics."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"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 ease of implementation needs improvement."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"It lacks consistency in the APIs."
"The product needs to have more enterprise approach to configuration."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"Geo-data is also something very critical that we hope to see in the future."
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