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.
"AppDynamics' most valuable features are the response time of the business transaction modules, the ability to monitor multiple services, and testing and developing environments."
"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 most valuable feature is the detailed statistics, like the consumer count, for the ActiveMQ server."
"It is easy to gain visibility into complex environments with AppDynamics. It has the ability to combine operation information of the environment and business information with strong business IQ support."
"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."
"In 2014 and 2015, AppDynamics was one of the best products on the market."
"The best feature of AppDynamics is the analytics, which gives us the business insights of the application."
"It is a stable solution."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"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 most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"The most useful feature is the APM."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"Excellent autocomplete for everything in the UI."
"There are many KPIs that are not available in AppDynamics."
"AppDynamics lacks integration with cloud technology. It probably isn't a good fit for emerging enterprises because it's an on-premise solution, and many newer companies are moving to the cloud. AppDynamics' on-premise technology works reasonably well, but it doesn't have cloud features."
"Rolling out version upgrades is a difficult job at times."
"The training on the dashboards that is provided could be a little bit better, as could the use cases. They should have some good examples out there. As it is right now, I had to scour YouTube to find some stuff."
"The solution could improve by covering more technologies. For example, it does support .NET Core applications. However, it could be a bit better."
"The QA and test environment need improvement."
"I would like them to change their business model for scalability to accommodate growing companies. The business model should be more flexible."
"I would like to see more artificial intelligence and machine learning brought in to monitor the statement and payment sum issues we have."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."
"The documentation leaves a lot to be desired for new users."
"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."
"We need more visibility into the error tracking dashboard."
"They could have better log reporting."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"There is always room for improvement when dealing with cloud-based technologies. Mainly, I would say, it's just increasing our offerings to attract various other types of industries and businesses across more fields."
AppDynamics is ranked 5th in Application Performance Monitoring (APM) and Observability with 153 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