Scout APM and Prometheus-AI Platform are competitive solutions in performance monitoring and analytics. Prometheus-AI Platform seems to have the upper hand due to its comprehensive feature set and broader use-cases.
Features: Scout APM focuses on simplicity and ease of use with real-time alerting, error monitoring, and affordability. Prometheus-AI Platform provides AI-driven analytics, scalability options, and advanced capabilities to meet complex needs of large enterprises.
Ease of Deployment and Customer Service: Scout APM is known for straightforward deployment and responsive support, making it a good option for organizations with limited setup resources. Prometheus-AI Platform offers extensive support and a more complex onboarding process to facilitate deployment for larger clients.
Pricing and ROI: Scout APM offers affordability and efficient resource allocation, maximizing ROI for smaller organizations. Prometheus-AI Platform requires a higher initial investment but is balanced by significant long-term ROI through transformative capabilities and integrations.
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 0.8% |
| IBM Maximo | 18.3% |
| IFS Cloud Platform | 8.4% |
| Other | 72.5% |
| Product | Market Share (%) |
|---|---|
| Scout APM | 0.4% |
| Dynatrace | 7.4% |
| Datadog | 6.0% |
| Other | 86.2% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
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.
Scout APM is an application performance monitoring solution that simplifies the troubleshooting process by enabling developers to discover and repair performance problems before clients ever notice them. Scout APM uses a developer-based UI with real-time alerting and intuitive tracing logic to identify bottlenecks precisely to the source code. This helps to greatly reduce time and effort needed to debug code and results in greater productivity and improved outcomes.
Scout APM facilitates the ability of developers to break down, discover, and prioritize performance issues such as N+1 queries, latent database queries, memory bloat, and more, and accomplishes these results at a fraction of the cost. Scout APM monitors Elixir, Node.js, PHP, Python and Ruby.
Scout APM is built by developers, for developers.
Scout APM Features
Reviews from Real Users
“The solution is stable. It's pretty easy to set up, especially if you have the knowledge base and/or you have a partner assist you. The product can scale. The processes are great. It helps with services and microservices. The product is great for many different industries, including energy, government, finance, and more. It's allowed our company to be more forward-thinking and to consider the future a bit more. ” - Antonio B., Regional Manager LatAm at Splunk
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