AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
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Dynatrace
Score 7.4 out of 10
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Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
AppDynamics was trialled in a shoot-out between New Relic and Dynatrace and just about edged New Relic simply for the ability to drill down to the methods and lines of code in the error monitoring, which is an invaluable feature for a development manager. New Relic Insights …
AppDynamics is still a good solution as this is one the earliest tool available in the APM space and people are used to this Application usage. However other products are also doing great as Dynatrace is the biggest competitor since it adds on all the AppDynamics features plus …
AppDynamics excels at delivering extensive insights into the performance of apps at the code level. It enables developers to zero in on certain lines of code or modules that are causing performance difficulties, making it possible for more effective debugging and optimization. …
It's easy to customize alerts into easy notifications, view everything in a graphical manner, and it's easy to understand. AppDynamics helps us to understand and monitor our network and servers related issues before they cause an impact on our business processes or clients. …
AppDynamics is more a graphical representation of data, where as other tools like Splunk shows data in a table format using Query structure. AppDynamics helps is in analyzing system performance, but other tools just help to log the data and send alerts upon manual setting. …
AppDynamics falls under Cisco's Full Stack Observability and is now deeplyintegrated with Thousand Eyes, Secure App and Intersight covering addional monitoring layes that no other solution out there does well.
AppDynamics is the legacy product with the most experienced in the APM side of the business. Due to its duration in the market product has evolved and has matured to a certain level that other products have not been reached yet which gives an edge from the branding perspective.
Cisco's AppDynamics solution has been used for several years because it has a low level of complexity for registering alarms, editing dashboards, instrumenting monitoring agents, managing user credentials, and integrating with other systems, stability, and low volume of new …
Before having purchase decision, we went through PoC study and evalute the tools in APM market. I am listing key areas that Appdynamics provided better results. - Out of the box database performans monitoring features. - Aggressive pricing strategy
AppDynamics automatically discovers and monitors every dependency and business transaction out of the box (no manual instrumentation required). AppDynamics proprietary Dynamic Baselining takes the seasonality of your application into account and proactively alerts you on every …
We decided to use AppDynamics because it is a tool that allows me to manage and monitor the performance of all the applications. It allows me to keep complete track of the capacity and speed with the software we develop to optimize it because it detects failures or errors. I …
AppDynamics is harder to implement because you have to set up the thresholds and various parameters to get the right data. Dynatrace, the agent does it all for you. New Relic didn't integrate very well with the applications we were using.
Dynatrace ended up being our choice over AppDynamics and Adobe Analytics because of the full stack monitoring capabilities. Where these other products allowed us to see limited slices of our environment, Dynatrace promises to give full visibility into everything. We started out …
Dynatrace was the easiest to use. AppDynamics was a close second. The Dynatrace AI agent was extremely impressive. Others are working on it but don't seem to be there yet. The Dynatrace roadmap and vision (coupled with execution to this point) matched where we were going the …
Datadog is a good system but does lack a lot of features provided by Dynatrace, and more importantly, it does not have the support Dynatrace provides. Many other systems, Zabbix, Nagio, AppDynamics also exist, but so far, Dynatrace really shines above them all.
Some of these tools we use alongside Dynatrace, and others we chose Dynatrace over. Since Ruby is not a Dynatrace supported language, we use New Relic to monitor those applications. We are an AWS shop so naturally, we use CloudWatch metrics for things like auto-scaling where it …
Dynatrace has three key points: ease of deployment, ease of access and a very low learning curve. Also the info provided by the DT agents are easy to understand and relate to root cause. Also the user interface is very simple and can be configured/shared to provide the data to …
We selected Dynatrace because it is much more modern and depends on AI, on auto-discovery, and other features, making it really a next-gen monitoring solution. It is not easy to on-board to Dynatrace, as it has an extremely steep learning curve. It is also possible that other …
I have used a plethora of Application Performance Management (APM) tools, all have their niche. Dynatrace provides the best-in-class experience for support, operations, and platform engineering teams. In addition, access for my Enterprise Development teams has been critical. …
Dynatrace is easy to on-board. Easy and quick to find any performance issues. Back-tracking of dependency calls is easy. I think these are the features missing from other APM tools.
Our technical team showed me the completeness of Dynatrace against the competitors. Also, the breadth of services Dynatrace offered was a selling point.
Unsure as I was not a part of the initial POC for Dynatrace. Dynatrace was already deployed before I was employed. I wish that I could provide more detail into the differences, but I have not had the chance to review what was offer with Cisco's product.
Dynatrace was easier to install and provided far greater coverage. It was implemented within one day onsite without consulting services. Others had large consulting services costs. It provided detail coverage not just samples and kept the detail of all transactions and flows …
Verified User
Manager
Chose Dynatrace
Dynatrace stacks well against all competitors. It differentiated itself with its deeper analysis capabilities when it comes to down to the problems that can occur at a code level. We selected Dynatrace over the competitors for this reason as well as the vision it had for the …
There are many pros and cons. For some use cases, Dynatrace far exceeds the capabilities of the competition--for instance in automatically detecting issues and performing root-cause analysis, Dynatrace is clearly ahead of the others. For cloud monitoring, Datadog seems to have …
In scenarios where proactively preventing performance issues is a priority, AppDynamics shines. Its machine learning capabilities and automatic baselining help predict and address potential problems before they impact users. If an organization has relatively simple monitoring needs and doesn't require the advanced features provided by AppDynamics, simpler and more cost-effective monitoring tools may be a better fit.
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
When an issue arises, AppDynamics shines in root cause analysis. For example, it provides a comprehensive breakdown of the factors contributing to a performance problem. This detailed analysis accelerates the troubleshooting process, allowing our teams to address the root cause swiftly and effectively.
We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
The initial setup process of AppDynamics could be more user-friendly. Some users find the configuration and onboarding to be a bit complex. Improving the onboarding experience could make it more accessible, especially for smaller teams or those with limited resources.
It can be difficult for some users to get AppDynamics up and running for the first time. For new users, the platform's usability might be improved by streamlining the onboarding process or providing more user-friendly setup wizards.
Dynatrace does not monitor easily on a C-based application.
The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
We have already renewed our purchase with the company. They make it easy for us to get a temporary license for our contingency site that is only used for testing twice a year. We are expanding our license with for this tool. We find it very useful and will renew it again.
I really liked how easy it was to deploy the SaaS vesion of Dynatrace in our environment. We have a lot of tools that have plenty of capability but they don't get a whole lot of use because they would require someone who is an expert to use them. With the SaaS version of Dynatrace, all the admin functions are taken care of by the Dynatrace team (updates, patches, new features, bugs, etc.) and our small shop can focus on getting valuable metrics, alerts and issue resolution from the product.
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
Given that Dynatrace has become an informal industry standard, the plethora of information available on forums is massive. Most problems or roadblocks you come across are most likely (almost certainly, in fact) already solved and solutions available on these forums. The tech support at Dynatrace is also quite good, with prompt and knowledgeable people at their end.
I have used Splunk for a short period. It was difficult to connect with the server and it takes much time to connect with the central server but AppDynamics is quite fast in it. Plus the service handlers for Splunk were a little ignorant their response was usually late in AppDynamics we got a great service team that gave us the solution with application bugs and fixes. Overall AppDynamics is more reliable.
Synthetic Monitoring automatically does what other products do only through the use of other tools or through the development of user applications that still have a high cost of maintenance. The other products are not immediately usable and require many customizations. Through the use of configuration automatisms, you can be immediately operational and, in our case, we detected several imperfections in the applications.
Our applications's dependability and performance have increased due to it, and this has raised user satisfaction, our clients can now use our apps with greater speed and dependability and with fewer likelihood of encountering performance issues.
By lowering the frequency of application outages and enhancing the functionality of our revenue-generating apps, it has assisted us in increasing revenue, like it assisted us in locating and resolving performance bottlenecks in our online shopping cart applications which greatly increased the quantity of transactions we could handle in seconds.
Our IT staff is now more productive due to its automation of numerous APM related tasks, our IT staff can now concentrate on more strategic tasks as a result of this.