

Splunk AppDynamics and Devo compete in the application performance management category. Splunk AppDynamics appears to have an upper hand in application monitoring, while Devo stands out with its analytics capabilities for real-time insights.
Features: Splunk AppDynamics offers features such as real-time monitoring, end-to-end transaction tracing, and AI anomaly detection, enhancing issue resolution. Additionally, it provides dynamic baselining and auto-discovery, which are crucial for enterprises looking to optimize application performance. Devo features high-speed search capabilities, robust analytics for real-time insights, and Activeboards for comprehensive data visualization, which are valuable for security threat detection and response.
Room for Improvement: Splunk AppDynamics needs improved integration with emerging technologies and a simpler licensing model to reduce scalability costs. Enhancing user-friendliness and support for dynamic environments is also suggested. Devo requires further development in its GUI and better integration with third-party systems for an enhanced user experience, as well as improvements in pre-built monitoring capabilities and clearer documentation.
Ease of Deployment and Customer Service: Splunk AppDynamics is praised for ease of deployment in hybrid and cloud environments but could benefit from more training resources due to complex product offerings. Devo also offers a straightforward deployment process focusing on cloud environments, with generally solid customer service, although some variability in support speed is noted.
Pricing and ROI: Splunk AppDynamics is considered expensive, with a complex licensing structure, though it offers value in application stability and reducing downtime. However, price can be challenging for smaller organizations. Devo, with its data ingestion-based pricing model, offers more predictable costs but can incur unexpected expenses due to metadata charges. Both solutions provide substantial ROI through improved operational efficiency, but Devo's model is viewed as providing more straightforward value.
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.
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.
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 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.
This is particularly evident when dealing with failed login attempts and determining true versus false positives.
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.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
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.
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
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 | 13.3% |
| Devo | 4.1% |
| Other | 82.6% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 56 |
| Midsize Enterprise | 36 |
| Large Enterprise | 200 |
Devo is the only cloud-native logging and security analytics platform that releases the full potential of all your data to empower bold, confident action when it matters most. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.
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?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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