Splunk AppDynamics and Gigamon Deep Observability Pipeline compete in the observability tools category, focusing on application and network monitoring. Splunk AppDynamics tends to have an upper hand in application monitoring due to its comprehensive feature set, while Gigamon shines in network traffic analysis.
Features: Splunk AppDynamics provides deep transaction monitoring, Java container introspection, and real-time performance metrics. Gigamon Deep Observability Pipeline offers packet filtering capabilities, encryption features to streamline processes, and traffic aggregation for improved visibility.
Room for Improvement: Users suggest Splunk AppDynamics enhance network monitoring, support more technologies, and improve AI capabilities. It could also simplify its pricing model. Gigamon could improve its cloud network monitoring, enhance traffic flow visualizations, and expand its cluster capacity for better efficiency.
Ease of Deployment and Customer Service: Splunk AppDynamics supports diverse deployment environments including public and hybrid clouds, receiving positive feedback for professional customer support. Gigamon primarily serves on-premises and hybrid deployments with effective customer service marked by responsiveness and helpfulness.
Pricing and ROI: Splunk AppDynamics is perceived as expensive with complex licensing but delivers substantial ROI through reduced incident response times. Gigamon is seen as reasonably priced, providing cost-effectiveness relative to its observability benefits rather than deep ROI discussions.
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.
It's very hard to find ROI because we are currently focused only on the on-premises applications.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
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.
I can rate it nine out of ten.
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.
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 Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
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.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
| Product | Market Share (%) |
|---|---|
| Splunk AppDynamics | 4.1% |
| Gigamon Deep Observability Pipeline | 0.4% |
| Other | 95.5% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 36 |
| Large Enterprise | 188 |
Gigamon Deep Observability Pipeline is a comprehensive network visibility solution that provides real-time insights into network traffic. It offers SSL inspection and mobile network monitoring for traffic monitoring purposes. The solution optimizes networks, aids in security inspection, and improves firewall performance. It is praised for its performance, power, straightforward integration, stability, and ease of initial setup.
With Gigamon, organizations can gain complete visibility into their network traffic, identify potential threats, and take proactive measures to prevent them. The solution is ideal for organizations of all sizes, including enterprises, service providers, and government agencies.
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.
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