

ThousandEyes and Amazon CloudWatch are both key players in the network and cloud monitoring category. ThousandEyes has the upper hand in network visibility, while Amazon CloudWatch excels in AWS integration.
Features: ThousandEyes offers comprehensive monitoring capabilities with detailed visibility of network layers, user-friendliness, and Internet and WAN insights. Amazon CloudWatch provides ease in setup with strong integration for AWS services, customizable dashboards, and a robust alarm system.
Room for Improvement: ThousandEyes could benefit from enhanced application-level monitoring, more intuitive dashboards, and better integration with other platforms. Amazon CloudWatch faces criticism for pricing complexities, limited monitoring capabilities outside AWS, and requires enhanced dashboard and reporting functions.
Ease of Deployment and Customer Service: ThousandEyes is flexible with on-premises and hybrid cloud deployment options, offering responsive technical support and comprehensive documentation. Amazon CloudWatch benefits from AWS integration but sometimes lacks deep customer service engagement, with users indicating challenges with advanced functionalities.
Pricing and ROI: ThousandEyes tends to be pricier, targeting larger enterprises with high network monitoring demands, offering ROI through improved efficiency. Amazon CloudWatch provides a flexible pay-as-you-go model, seen as cost-effective within the AWS ecosystem, perceived as more affordable for smaller-scale deployments, and contributing to ROI via AWS integration.
Automated alerts, centralized dashboards, and log analysis reduce troubleshooting time, improve incident response, and minimize manual monitoring.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
There has been a great ROI from using ThousandEyes, with significant time saved in troubleshooting as I can quickly pinpoint issues rather than spending time isolating them, alongside enhancing customer feedback and experience.
I have seen a return on investment by reducing troubleshooting time and having lesser user mapping error issues, in addition to engineering time saved through better observability and reduced organizational MTTR.
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.
Customer support for Amazon CloudWatch has been excellent.
We contacted the support team, and they resolved it within a couple of hours.
I would give it a rating of 10 because whenever we have any issues, we can typically reach someone who has the knowledge to help us.
The customer support for ThousandEyes is very proactive and supportive.
It is already there as a managed service from AWS.
The scalability of Amazon CloudWatch is very good, providing high throughput and auto-managing applications alongside auto-dashboard support.
Amazon CloudWatch's scalability is managed by AWS.
Scalability with ThousandEyes is straightforward as you don't really need to scale; it's designed to monitor multiple applications, accommodating 50 or 100 applications simultaneously.
ThousandEyes's scalability is excellent; it is very scalable and grows with my organization's needs.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
From my experience, ThousandEyes has been stable up to 95%; I have not seen any stability issues.
ThousandEyes is not very stable; sometimes you have to reboot the servers to get actual results.
I would assess the stability and reliability of ThousandEyes as good, with no downtime or crashes or performance issues experienced.
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.
I wish to see simpler pricing, more intuitive dashboards, easier log queries for beginners, richer visualization options, and strong AI-assisted troubleshooting.
Incidents should be alerted on and traced early, before they escalate to full outages.
I think the pricing, setup cost, and licensing for ThousandEyes are too costly.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
It was very easy to set up because it is built into AWS and does not require separate licensing, being billed based on usage.
My experience with pricing, setup cost, and licensing has been that everything was cost-effective.
My experience with pricing, setup cost, and licensing is that it comes in cheaper than alternatives.
My experience with pricing, setup costs, and licensing indicates that licensing is somewhat complicated because of the credits system.
We can quickly fix issues at the point of occurrence, and real-time metrics for microservices provide centralized logging and automated alerts that enable fast incident detection, quicker troubleshooting, and better application reliability.
Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.
If there is a CPU spike or system issues, we set alarms to notify us if the system is going down or not reachable.
I measure the 70% improvement in customer experience through customer tickets and feedback after resolving issues, where previously, users faced problems and limited time on the platform, and after using ThousandEyes, the user time reached up to five to six hours a day, even for teams possibly totaling 30 hours a day.
ThousandEyes offers the best features including global internet and cloud visibility from distributed vantage points, application and network performance monitoring, real-time outage detection and incident alerts, end-to-end path visualization for rapid troubleshooting, proactive issue demarcation, and historical data.
ThousandEyes has become critical for swift network troubleshooting as well, so anytime that there's potential issues with applications or we want to be proactive in resolving potential issues before they arise, ThousandEyes is really the platform that we're leveraging for WAN monitoring, Wi-Fi, latency, packet loss, etc.
| Product | Mindshare (%) |
|---|---|
| ThousandEyes | 1.9% |
| Amazon CloudWatch | 1.6% |
| Other | 96.5% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 8 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
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.
ThousandEyes offers cutting-edge monitoring capabilities with advanced features such as end-to-end network monitoring, real-time alerts, and application insights. It supports integration with Cisco products and provides visibility into network paths, helping businesses maintain superior network performance.
ThousandEyes is renowned for its ability to diagnose network issues by offering comprehensive network path visualization and detailed analytics. Its ability to detect packet loss and monitor ISPs ensures robust network security. The integration capabilities, particularly with Cisco platforms, make it versatile for businesses requiring customizable dashboards. Users benefit from ease of use and real-time alert systems, though improvements in guest portal usability, packet analysis, and integration with Cisco platforms are needed. Enhancements in automation, knowledge resources, and application-level features could benefit users, alongside better network device monitoring through SNMP and improved path visualization. Additionally, better incident management and alert detection systems are anticipated.
What are the key features of ThousandEyes?Businesses across sectors leverage ThousandEyes for seamless network monitoring and diagnostics. It is invaluable for ensuring connectivity across LANs, Wi-Fi, internet, and SaaS applications. ThousandEyes provides critical insights into internet and ISP performance, significantly benefiting industries reliant on robust digital infrastructure.
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