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.
"Applications: This provides us insight into how our applications are performing within our environments and affords us the ability to identify opportunities and make changes to code / environment to effect positive performance lift."
"It gives me the ability to trace logs between transactions, for example, a DB transaction or JVM transaction from one hub to the other. I can easily find out where the problem is or where the bottleneck of the issues lies."
"The most valuable feature of AppDynamics is Proactive Monitoring and Alerting."
"The ability to check parameters for microservice applications is most valuable. It is important for me. I can manually create new business transactions for applications and individually monitor business transactions. I can also use a lot of extensions. It has a lot of extensions to monitor other third-party applications, such as NoSQL applications, memory cache applications, Kafka applications, and Couchbase applications. It is very useful. We are also using the end-user monitoring site to follow all end-user activities. It is important for us to check the errors on the customer site."
"Transition tracing is the most valuable is pretty easy and useful, but the user experience piece is also good."
"We set up alerts recently so we can fix any issues more quickly in production."
"It reduces the time to resolve issues and requires less manpower."
"Technical support is helpful."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"It has enhanced the performance of my team."
"The most valuable feature of Datadog is its logs."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"If AppDynamics could do a one-agent function with their actual monitoring effectiveness, it will be the greatest tool."
"It would help to maybe have a more graphical interface and more user-friendly graphics."
"There needs to be an option to capture all the sessions for all the users, not just samplings."
"AppDynamics's agent management could be improved."
"Additional support for NextGen mobile platforms also needs to be high in the roadmap prioritizations"
"The cost element is an issue. I can't expect the company to change its way of work. However, given the fact that we earn and do all our business in South African Rand, I would prefer to buy in Rand as opposed to the American dollar or British pound."
"There could log management features included in the product."
"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."
"We would really like to see more from the Service Catalog."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"Managing dashboards as IaC is a bit hard to work out at times."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"I've found that the documentation is lacking in certain regards."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."
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 Elastic Observability. See our AppDynamics vs. Datadog report.
See our list of best Application Performance Monitoring (APM) and Observability 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