Splunk AppDynamics and Prometheus-AI Platform are contenders in the application performance monitoring arena. Splunk AppDynamics stands out, especially in complex environments, due to its detailed performance analytics and comprehensive monitoring features.
Features: Splunk AppDynamics provides deep performance insights with powerful analytics and alerting capabilities. Its real-time monitoring, transaction mapping, and root cause analysis make it effective for proactive issue detection. Additionally, the dynamic baselining feature offers automatic adjustments based on performance trends. Prometheus-AI Platform, on the other hand, excels in its open-source nature, strong integration capabilities, and lightweight configuration. It offers robust metrics collection and integrates seamlessly with Grafana for visualization.
Room for Improvement: Users of Splunk AppDynamics point to the need for improved integration capabilities, easier dashboard customization, and a more straightforward licensing model. There is also a call for better support for newer technologies. Prometheus-AI Platform could enhance its stability and provide a more user-friendly interface. Enhanced security monitoring and straightforward querying and cluster management are areas for improvement.
Ease of Deployment and Customer Service: Splunk AppDynamics is suitable for cloud and on-premises setups, though deployment complexity is a challenge, especially for new users. Its technical support is generally solid, but there are requests for more efficient and responsive service. Prometheus-AI Platform offers flexibility in deployment due to its open-source nature but requires significant technical expertise. Its support primarily relies on community resources, which can be a drawback for some users.
Pricing and ROI: Splunk AppDynamics is often seen as costly due to its complex licensing and high cost of fully leveraging its features. However, for users focused on extensive monitoring, the cost is often justified by a strong ROI. Prometheus-AI Platform, being open-source and essentially free, is a cost-effective option for budget-conscious organizations or those using open-source stacks, although its limited features can impact the ROI based on specific needs.
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.
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.
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.
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.
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.
| Product | Mindshare (%) |
|---|---|
| Prometheus-AI Platform | 1.7% |
| IBM Maximo | 15.2% |
| Oracle Enterprise Asset Management | 8.5% |
| Other | 74.6% |
| Product | Mindshare (%) |
|---|---|
| Splunk AppDynamics | 3.8% |
| Dynatrace | 6.0% |
| Datadog | 5.2% |
| Other | 85.0% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 57 |
| Midsize Enterprise | 37 |
| Large Enterprise | 200 |
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 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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