

AppDynamics, Splunk, and Azure Monitor compete in the performance monitoring tools category. AppDynamics holds an advantage due to its deep diagnostics and proactive alerting features, whereas Splunk offers detailed transaction visibility, and Azure Monitor is preferred for full-stack cloud monitoring.
Features: AppDynamics is appreciated for its automatic baseline monitoring, business transaction tracking, and deep diagnostics that provide insights into application performance. Splunk's drill-down capabilities allow users to explore issues down to the method level and integrate well with numerous platforms. Azure Monitor provides full-stack monitoring capabilities across cloud resources, offering a comprehensive view of system health.
Room for Improvement: AppDynamics needs better support for emerging technologies, enhanced integration with other monitoring systems, and more user-friendly dashboards. Splunk can improve its auto-discovery features and reduce manual configuration for better efficiency. Azure Monitor requires enhancements in log analytics and a more intuitive setup for multi-cloud environments, alongside seamless integration with non-Azure ecosystems.
Ease of Deployment and Customer Service: AppDynamics offers a versatile deployment model that accommodates hybrid, public, and private clouds but can experience complex initial setups. Its customer service is generally responsive though sometimes delayed for complex issues. Azure Monitor is optimized for Azure environments, making deployment seamless for organizations leveraging their services. While its technical support is commended, suggestions for improved response times and user guidance persist.
Pricing and ROI: AppDynamics is a premium solution with high costs that are justified by its extensive features and return on investment for critical applications. Conversely, Azure Monitor offers a competitive pay-as-you-go model suitable for fluctuating workloads, providing significant cost benefits for existing Azure clients and emphasizing value in operational efficiency.
Azure Monitor helps prevent impacts on their system.
Overall, as a production gatekeeper, we achieve at least 50% efficiency immediately, with potential savings ranging from 60 to 70% as well, reinforcing why it is a popular tool in the banking industry.
According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.
However, the second-line support is good.
Users end up getting no resolution from their team because they're outsourced vendors, and they don't have deeper expertise over any of the products they are referring to.
I would rate the support for Azure Monitor as a seven.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
With APM, you can go heavy or you can go light. It just depends on what you want, what your use case is, and how reactive you want to be to system load or resilient to failure.
Azure Monitor is very scalable; there are no issues with scalability for different kinds of businesses.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers.
Azure Monitor is working fine, yet I face a costing issue as if there are a lot of logs collected in the workspace or in the center, it becomes very costly.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
Splunk AppDynamics is superior to any alternative, including Dynatrace.
If Azure Monitor can independently add one gigabyte, two gigabytes, or five gigabytes at least to log storage, I can fix the logs without syncing with Log Analytics Workspace and Sentinel.
The cost skyrockets once you start using it, and there are complaints that the actual cost of the Kubernetes cluster was less than the cost they were incurring for Azure Monitor.
The challenges with Azure Monitor are that it's initially complex to set up because you need multiple components.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
AI could provide more insights for annual or half-yearly reports and forecast future changes in the asset landscape.
Functionality-wise, I would like to see more cognitive solutions in Splunk AppDynamics, ideally with a single agent that can implement policies and provide predictive insights regarding application performance degradation during peak times.
When I export logs into the application, workspace, log analytic workspace, and into Sentinel to read reports, I need to add storage, which increases the cost.
We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
Overall, I consider Splunk AppDynamics an expensive product; it's very expensive.
The resource team finds the best prices, ensuring that Splunk AppDynamics is an acceptable option for the end user.
The alerting features definitely help in reducing operational downtime for my customers by allowing us to get notifications in advance and take active actions.
I also appreciate the ability to measure feature activity, see what types of devices they are on, follow specific use cases, and measure the amount of traffic going to a particular application.
Resource monitoring is essential.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.
This is the best feature because, although you can't monitor a whole application at once, Splunk AppDynamics gives you the option that if there is any failure—simple failure regarding anything set up as per our use cases—you will get an alert.
| Product | Mindshare (%) |
|---|---|
| Splunk AppDynamics | 3.9% |
| Azure Monitor | 2.6% |
| Other | 93.5% |


| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 7 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 57 |
| Midsize Enterprise | 37 |
| Large Enterprise | 200 |
Azure Monitor delivers comprehensive monitoring across applications and cloud resources, integrating seamlessly with Azure services to enhance performance tracking and telemetry analysis.
Azure Monitor extends monitoring capabilities for applications, infrastructure, and security, featuring easy integration with Azure and third-party tools. It supports dynamic alerting and telemetry, offering log analytics and metrics gathering. Users benefit from its alert system and intuitive dashboards, making it a preferred choice for multi-cloud and infrastructure monitoring across diverse IT environments. While users seek improved query building and interface navigation, they appreciate its scalability and cost-effectiveness.
What key features does Azure Monitor offer?Azure Monitor sees widespread use for infrastructure and application monitoring across industries. Companies rely on it for performance tracking and incident management, often integrating it with Application Insights for enriched data analysis. Organizations use it to monitor servers and cloud services, utilizing its capabilities in DevOps practices and during cloud transformation processes for analyzing database metrics and ensuring efficient application functioning.
Splunk AppDynamics is a comprehensive performance monitoring tool providing end-to-end transaction tracking, real-time monitoring, and a user-friendly interface. With AI-powered features, it enhances operational efficiency and resilience by offering insights into user interactions and infrastructure issues.
Splunk AppDynamics excels in monitoring applications and infrastructure performance, offering extensive support across environments like AWS and cloud. It aids in application performance monitoring, end-user experience, database analysis, and proactive incident detection. Supporting Java, .NET, and other technologies, it provides real-time insights into application health, resource utilization, and transaction tracking, ensuring reliable user experiences. Challenges remain in UI complexity, agent-based architecture, integration with diverse environments, and documentation clarity. Its licensing model is costly, and customer support may be slow. Performance concerns exist in historical data granularity and network visibility.
What features make Splunk AppDynamics stand out?
What benefits and ROI can users expect from Splunk AppDynamics?
Organizations in industries like finance and healthcare implement Splunk AppDynamics to monitor critical applications and infrastructure. Its capabilities in transaction tracking and AI-driven insights are crucial for maintaining system reliability, supporting technologies such as Java and .NET, and ensuring optimal resource utilization.
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