

Splunk AppDynamics and ServiceNow IT Operations Management both compete in the IT operations sector. Splunk AppDynamics tends to have the upper hand in integration and application performance tracking, whereas ServiceNow offers a more comprehensive platform integrating ITSM for holistic IT operations visibility.
Features: Splunk AppDynamics offers dynamic baselining, deep transaction insights, and seamless integration with various platforms, making it highly valuable for tracking and improving application performance. ServiceNow IT Operations Management provides a comprehensive platform that integrates well with ITSM, delivering a holistic view of IT operations.
Room for Improvement: Splunk AppDynamics could improve its real-time data processing and expand its integration capabilities with more DevOps tools. It also faces challenges in license management and support for newer technologies. ServiceNow IT Operations Management can simplify its setup process and improve discovery and integration features, with a noted need for better AI capabilities and more flexible licensing.
Ease of Deployment and Customer Service: Splunk AppDynamics offers versatile deployment options across public, private, and hybrid clouds with positive customer service feedback, though quicker response times would be beneficial. ServiceNow primarily targets larger enterprises and offers similar deployment versatility, with commendable customer service, although streamlined integrations and improved user guidance are needed.
Pricing and ROI: Splunk AppDynamics is often seen as costly, but users recognize the high value of its detailed monitoring capabilities, which can justify the expense. ServiceNow is also noted to be expensive, yet it offers significant ROI by enhancing operational efficiencies through its comprehensive suite and ITSM integration. Users suggest revisiting pricing models for both to better suit various organizational needs.
It reduced staffing needs from four full-time staff to fewer due to automation.
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.
They respond promptly when we call to open a ticket.
For minor issues, the team takes a month's time to provide a fix.
The response time of technical support could be improved.
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.
ServiceNow ITOM scales very well to small and medium businesses.
It integrates with every single tool, even external tools.
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.
Since it is a Platform as a Service (PaaS) or Software as a Service (SaaS) solution, I consider the stability to be very high, rating it ten out of ten.
It helps us create custom dashboards and provides excellent search functionality where we can search for any issues or errors that have occurred and take corrective action before it impacts the users.
All while benefiting from a single tool, single maintenance, and reduced license costs.
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.
Enhancing analytics is crucial, as we have seven years of data providing a substantial history of past ITSM and non-ITSM business tickets that can help predict and reduce the volume of calls.
A more streamlined configuration process tailored to use cases and industry would be beneficial.
It provides many out-of-the-box functionalities along with customization options.
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.
The pricing model offers scaling where not everything consumes a license equally, providing more value across different business areas.
ServiceNow's pricing is expensive.
It is definitely high-priced compared to other products available in the same domain in the market.
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 performance analytics of ServiceNow was especially beneficial for setting thresholds, aggregating, and correlating infrastructure data.
ServiceNow IT Operations Management influences ITSM processes by automating them and aiding in detecting and resolving IT issues to improve performance, reliability, and uptime.
They provide seamless integration of ITOM with their other modules such as ITSM, where we can leverage the AIs for discovery, perform impact analysis, which essentially helps to enhance the overall IT operations and reduce the downtime and MTTR.
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% |
| ServiceNow IT Operations Management | 1.2% |
| Other | 96.3% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 6 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 58 |
| Midsize Enterprise | 37 |
| Large Enterprise | 202 |
ServiceNow IT Operations Management offers a scalable platform for managing IT infrastructure with features like discovery, dashboards, and service mapping. Ideal for incident, change, and problem management, it enhances operational efficiency and reduces IT service downtime.
ServiceNow IT Operations Management provides comprehensive solutions for consolidating events, automating workflows, and monitoring IT systems. Users utilize it for managing ticketing systems and conducting impact analysis through service mapping. The platform supports integrations with other modules, boosting efficiency with its intuitive interface. While highly functional, improvements in interface design and pricing are necessary, especially in integration with non-IP devices and cloud providers. Enhanced AI, machine learning, and discovery and monitoring functions are also needed.
What are the most important features?IT Operations Management by ServiceNow is widely implemented across industries like finance, healthcare, and manufacturing to optimize IT processes, enhance monitoring, and streamline infrastructure management. It is particularly effective in automating workflows and improving service reliability.
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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