

Amazon CloudWatch and Prometheus-AI Platform compete in the monitoring and analytics product category. Amazon CloudWatch seems to have the upper hand in ease of setup and integration within the AWS ecosystem, while Prometheus stands out for its customization and flexibility.
Features: Amazon CloudWatch is known for its seamless AWS integration, robust real-time data, and detailed analytics tools, which allow for infrastructure monitoring and comprehensive metrics aggregation. It reduces the need for third-party tools. Prometheus offers open-source flexibility, extensive exporter support, and is particularly adept at integrating with Kubernetes. It is highly customizable and scalable, catering to businesses seeking a versatile monitoring tool.
Room for Improvement: Amazon CloudWatch could enhance its drill-down capabilities on dashboards, improve support for non-AWS services, and offer more affordable pricing. Additionally, its reporting and visualization tools require upgrades for advanced monitoring. Prometheus faces challenges in its complex setup and query language and needs improvements in visualization features and real-time logging for better usability. Enhanced documentation and alert functionalities are also needed.
Ease of Deployment and Customer Service: Amazon CloudWatch primarily supports public cloud environments and offers some hybrid support, benefiting from AWS's extensive support system, although premium technical assistance can be expensive. Prometheus, on the other hand, provides flexibility for both on-premises and hybrid deployments, relying primarily on open-source community support, which may not always meet organizational demands promptly.
Pricing and ROI: Amazon CloudWatch's usage-based pricing is seen as cost-effective by some but can become expensive with scaling and additional features, necessitating careful usage management for optimal ROI. Conversely, Prometheus offers a budget-friendly solution due to its open-source nature, appealing to businesses looking to reduce operational costs despite potential expenses for third-party integrations.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
Using open-source Prometheus saves me money compared to AWS native services.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
Prometheus does not offer traditional technical support.
It is already there as a managed service from AWS.
Amazon CloudWatch's scalability is managed by AWS.
Prometheus is scalable, with a rating of ten out of ten.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Prometheus is cost-effective for me as it is free.
If anything is wrong with your server or services, it means it is affecting your service and automatically indicates that user experience is degraded.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
The best features of Amazon CloudWatch need to improve visibility into the network because when using hundreds of network resources such as transit gateway, VPNs, routers, route tables, and firewalls, it does not give many details in a structured manner.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
| Product | Market Share (%) |
|---|---|
| Amazon CloudWatch | 2.0% |
| Zabbix | 11.6% |
| Datadog | 6.7% |
| Other | 79.7% |
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 1.8% |
| IBM Maximo | 16.0% |
| Oracle Enterprise Asset Management | 7.8% |
| Other | 74.4% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.
Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.
What features does Amazon CloudWatch offer?Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.
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.
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