Splunk AppDynamics and Prometheus-AI Platform compete in the realm of application performance monitoring and data metric management. Based on user insights, AppDynamics holds a slight advantage with its detailed transaction insights and user-friendly interface, while Prometheus is praised for its scalability and open-source nature.
Features: Splunk AppDynamics is well-regarded for real-time transaction tracking, stack trace visibility, and comprehensive performance monitoring across diverse environments. Prometheus-AI Platform excels in handling data metrics, its open-source availability, and flexible integration capabilities, making it a preferred choice for those needing extensive customization and scalability.
Room for Improvement: Splunk AppDynamics users call for easier dashboard customization, more intuitive alerts setup, and enhanced network monitoring integration. Prometheus-AI Platform could benefit from a more straightforward query language, improved initial setup processes, enhanced security features, and better visualization tools to improve user experience and increase integration capabilities.
Ease of Deployment and Customer Service: Splunk AppDynamics is used across public, private, hybrid cloud, and on-premises environments and is often praised for its swift technical support. However, some users find the support inconsistent. Prometheus mainly operates on on-premises, public, and hybrid cloud infrastructures and benefits from strong community support, while official support might not measure up to AppDynamics' personalized service.
Pricing and ROI: Splunk AppDynamics is perceived as a premium product with high costs that warrants negotiation for smaller organizations, yet it provides significant ROI through downtime reduction and increased user satisfaction. Prometheus-AI Platform's free, open-source model makes it highly cost-effective, especially for those skilled in managing their deployments, providing a budget-friendly option without direct support fees.
Using open-source Prometheus saves me money compared to AWS native services.
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.
Prometheus does not offer traditional technical support.
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.
Prometheus is scalable, with a rating of ten out of ten.
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.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
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.
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.
Prometheus is cost-effective for me as it is free.
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.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
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.
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 8 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 36 |
| Large Enterprise | 189 |
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
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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