

Splunk AppDynamics and LogicMonitor compete in IT monitoring and analytics solutions. Based on feature comparisons, Splunk AppDynamics has the upper hand due to its robust transaction tracing and performance insights.
Features: Splunk AppDynamics stands out for transaction tracing, deep-dive diagnostics, and comprehensive application performance insights, offering detailed metrics and troubleshooting capabilities. With LogicMonitor, the emphasis is on wide monitoring coverage and robust dashboarding, supporting custom data source integration for detailed visualization of metrics. The product focuses on infrastructure monitoring, with strengths in network and device visibility.
Room for Improvement: Splunk AppDynamics could improve integration capabilities and user interfaces, better support for asynchronous monitoring, and network monitoring insights. LogicMonitor could enhance cloud and container monitoring features and improve automation and remediation abilities. Both could work on more seamless integrations with other tools.
Ease of Deployment and Customer Service: Splunk AppDynamics supports multiple deployment types, including on-premises, public, and hybrid clouds, offering flexible options. While customer service is responsive, some users desire improved support timeliness. LogicMonitor emphasizes ease of setup, particularly in hybrid environments, and its service could enhance cloud-related support for quicker resolutions.
Pricing and ROI: Splunk AppDynamics is considered premium with high pricing, especially with additional analytics and real-user monitoring features. Despite this, significant ROI is reported due to time savings and performance insights. LogicMonitor is praised for competitive pricing and a simple licensing model, considered cost-effective through consolidated monitoring and streamlined operations.
The return is more of value and savings in preventing costly downtime, making the savings of about $60,000 which we would have lost without LogicMonitor, and in IT staff efficiency, we save approximately 15 hours a week.
I can definitely notice a difference in our posture, uptime, and ability to solve problems and resolve outages much quicker since we have had LogicMonitor in place.
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.
Customer support is on point and very well trained.
We need to be able to reach them in real-time, and without those kinds of options available, we have to set up ad hoc calls, which could be improved.
The product mostly just works without issues.
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.
They are not licensed, so you could deploy one collector or 1,000 collectors for the same cost.
LogicMonitor's scalability absolutely meets our organization's growth needs.
LogicMonitor scales well
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.
It is very stable. I have never seen LogicMonitor itself go down.
Since we implemented LogicMonitor and got it working in production, there has been no downtime, no reliability issues, and nothing major regarding flare-ups from LogicMonitor's perspective.
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.
I wish the user interface would be customizable to allow users to create personal context-specific workspaces to hide irrelevant data, rather than trying to have a one-size-fits-all interface.
The container monitoring seems to be really behind compared to some bespoke cloud-native monitoring solutions that are designed around Kubernetes, containers, and ephemeral environments.
One thing Dynatrace had that I enjoyed was real-time support chat available to reach someone and get help in real-time.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.
I experienced no issues with pricing, setup cost, and licensing; it was very transparent, and the licensing model is very clear and easy to understand.
We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
The dynamic alerting and root cause analysis have helped us fix issues before they cause a full-blown outage or degrade performance for end users.
Our SLAs and SLOs were averaging about 10 to 15 failed SLAs and SLOs that were over the time allotted to get those resolved, and those are now down to about two to three per week.
If you need to troubleshoot, or if the Logic Module does not work exactly as needed, you can go in, look at the code, and fork that Logic Module to adjust the Groovy code to do exactly what you need.
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 | Market Share (%) |
|---|---|
| Splunk AppDynamics | 3.7% |
| LogicMonitor | 0.8% |
| Other | 95.5% |

| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 10 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 36 |
| Large Enterprise | 193 |
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
Splunk AppDynamics enhances application performance monitoring with advanced diagnostics and real-time insights, offering seamless end-to-end transaction tracking and infrastructure visibility.
AppDynamics provides critical tools for businesses to analyze application behavior and performance. Through innovative features like transaction snapshot analysis and adaptable dashboards, users can quickly identify and address issues, ensuring high levels of system uptime and efficiency. It is designed to support complex environments including Kubernetes and AWS, enhancing user experience by detecting performance issues early. Despite needing improvements in network monitoring and integration, it remains a robust option for tracking application health.
What are the key features of AppDynamics?In industries like financial services and e-commerce, AppDynamics facilitates performance tracking across distributed systems, optimizing infrastructure to meet consumer demands. It excels in environments needing precise transaction monitoring and is pivotal in delivering high value and satisfaction.
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.