Splunk AppDynamics and IBM SevOne Network Performance Management (NPM) compete in the performance management software category. Splunk AppDynamics is favored for its comprehensive application monitoring features, while IBM SevOne NPM has the advantage in network data handling and scalability.
Features: Splunk AppDynamics offers dynamic baselining, end-to-end business transaction insights, and automatic baselining, providing users with robust analytics and detailed transaction breakdowns. IBM SevOne NPM stands out with enhanced reporting, comprehensive network performance data, and scalability, allowing users to access granular network data effectively.
Room for Improvement: Splunk AppDynamics users seek an improved pricing structure, better integration with infrastructure tools, and an enhanced user interface. They also mention challenges with its licensing model. IBM SevOne NPM requires advancements in automation, user-friendly customization options, and improvements in predictive analytics.
Ease of Deployment and Customer Service: Splunk AppDynamics offers flexible deployment across public, private, and hybrid clouds, appreciated for its ease of setup and customer support, though experiences with technical support vary. IBM SevOne NPM is deployed mostly on-premises or hybrid environments, known for its straightforward deployment and reliable technical assistance.
Pricing and ROI: Splunk AppDynamics is seen as expensive due to its premium features, attracting larger enterprises seeking comprehensive monitoring. IBM SevOne NPM provides a more flexible and affordable pricing structure, with its pay-as-you-grow model appealing to budget-conscious users, offering significant value in network management.
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.
The technical support from IBM for SevOne Network Performance Management (NPM) is very good.
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.
It is suitable for small, medium, and enterprise-level companies.
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.
The stability of IBM SevOne Network Performance Management (NPM) is excellent.
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.
It would be beneficial to have out-of-the-box integration with third-party vendors and improvements in correlation features.
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.
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 most valuable features of IBM SevOne Network Performance Management (NPM) are its stability, usability, visibility, and user-friendly interface.
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 | 2.5% |
| IBM SevOne Network Performance Management (NPM) | 1.1% |
| Other | 96.4% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 6 |
| Large Enterprise | 45 |
| Company Size | Count |
|---|---|
| Small Business | 57 |
| Midsize Enterprise | 37 |
| Large Enterprise | 200 |
IBM SevOne Network Performance Management offers real-time insights, customization, and integration capabilities to efficiently monitor network performance across diverse infrastructures, enhancing operational efficiency.
IBM SevOne NPM is recognized for its ability to provide scalable network monitoring across multi-vendor environments. It delivers real-time data insights essential for maintaining network health and performance. With features like SNMP monitoring, NetFlow data collection, and comprehensive dashboards, it supports proactive tracking and analysis. While challenges in upgrade processes and third-party integration exist, its ability to monitor network availability, capacity, and performance in complex environments makes it valuable for organizations managing data centers and virtual machines.
What are the key features of IBM SevOne NPM?In industries such as IT service providers and large enterprises, IBM SevOne NPM is implemented for its ability to monitor extensive network environments, including data centers and virtual machines. Its proactive monitoring and reporting capabilities are instrumental in maintaining network health and ensuring seamless performance across multiple regions and platforms.
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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