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 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."
"The release management capabilities are great."
"In 2014 and 2015, AppDynamics was one of the best products on the market."
"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."
"The most valuable features of AppDynamics is the scalability and monitoring."
"This solution is easy to use and very powerful, it is a complete tool for us."
"We are able to correlate performance between tiers."
"It has improved our organization with its ability to catch issues quickly and fix them."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"The integration into AWS is key as well as our software is currently bound to AWS."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"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."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"Datadog has so far been a breeze to use and set up."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"Regarding Search Guard functionality, there is room for improvement."
"The integration ability of AppDynamics with other performance testing tools is an area with shortcomings where improvements are required."
"The solution's user interface should be improved."
"There could log management features included in the product."
"The solution could improve by covering more technologies. For example, it does support .NET Core applications. However, it could be a bit better."
"Maybe some more CPU power or something like that could be an area to improve."
"Their agents sometimes claim to be very lightweight, especially with databases, but they are very heavy. They can take up more compute than the actual work that we need to do."
"At this time, we don't have much visibility on the virtual environment, monitoring, and all other things. We have visibility only for database monitoring, and we have noticed performance impact when deploying database agents on the database server. We got to know this from AppDynamics support also that we should not deploy database agents from the database server. When agents are deployed on the same server and the database is monitored from there, we are not getting database server metrics. Therefore, we don't have those insights, and sometimes, we struggle because of that. They can improve this functionality so that we do not have a performance impact, and we can deploy anywhere. This would help us a lot. In terms of end-user monitoring, currently, it is not working for us because there are some complexities. It is a little complicated, and it takes a little bit of time to understand where you need to make changes. It would be very helpful if they can provide some template designs for end-user monitoring. When our servers are running on VMs, we don't get many insights from the VM side. I don't know whether it is possible to have visibility beyond the database, server, and application and whether there are some features where we can deploy AppDynamics on VMs as well. Such functionality would give us more control over storage, VM, OS, and database. It will also provide complete visibility of our hardware and software."
"We would really like to see more from the Service Catalog."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"I would love to see more metrics or analytics in IoT devices."
"The product needs to have more enterprise approach to configuration."
"Additional metrics should be included."
"Deploying the agents is still very manual."
"The FinOps needs improvement."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
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