

ThousandEyes and OpenText AI Operations Management compete in the network monitoring and management category. ThousandEyes appears to have an edge due to its comprehensive network path analysis and scalability, though OpenText's integration capabilities and event correlation present a strong case for enterprises seeking consolidated data.
Features: ThousandEyes offers comprehensive network monitoring with a focus on connectivity quality, alert systems, and end-user monitoring. It excels in analyzing network paths and issues, providing robust scalability and ease of use. OpenText AI Operations Management is recognized for its diverse integration capabilities and superior event correlation, effectively consolidating operational data across network, application, and server infrastructures.
Room for Improvement: ThousandEyes could enhance its dashboard features, application-level monitoring, and expand platform integrations. Users also seek improved packet analysis and broader education on certain functionalities. OpenText AI Operations Management would benefit from more AI integration, improved dashboards, as well as simpler licensing. Challenges include setup complexity and the need for better scalability and stability.
Ease of Deployment and Customer Service: ThousandEyes supports on-premises and hybrid cloud deployments, with users noting its good support quality, although response times could improve. OpenText AI Operations Management also supports diverse deployments and is praised for its customer service, though complexity in handling and response times can be lengthy. Both solutions are reputable in support but differ in deployment challenges.
Pricing and ROI: ThousandEyes is viewed as pricey, better suited for larger enterprises but delivers strong ROI through effective issue resolution. OpenText AI Operations Management, despite its complex licensing, offers module selection flexibility and shows cost-effectiveness via automation, reducing manual task costs for enterprises. Both highlight significant ROI, with differences in cost perception and licensing complexity.
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.
OpenText goes out to bring the right people to answer any inquiries I have.
My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.
We contacted the support team, and they resolved it within a couple of hours.
The stability and scalability depend on architectural considerations and the company's specific situation.
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.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
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.
You need to see the big picture and understand what the customer's pain points are to find the right tuning.
Splunk is more business-friendly due to its prettier interface.
An area where ThousandEyes can be improved is in providing more in-depth packet analysis; we've found instances where ThousandEyes indicates everything is okay, but it's actually not.
Introduction of a free version for end-users and enhancements to the user interface for easier navigation.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
We have a platform where we are collecting metrics, logs, and traces for OpenText AI Operations Management, and if there is an anomaly, we directly open a ticket in our ITSM system.
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.
The best features ThousandEyes offers include monitoring page load times, assessing how long it takes for an application to load, checking for packet loss and jitter, and monitoring the routing path from the user to the server hosted in the cloud or on-premises.
ThousandEyes provides the exact error from the client, making troubleshooting more efficient.
| Product | Market Share (%) |
|---|---|
| ThousandEyes | 2.4% |
| OpenText AI Operations Management | 0.9% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 12 |
OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.
OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.
What are the key features of OpenText AI Operations Management?OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.
ThousandEyes is a Network Intelligence platform that delivers visibility into every network an organization relies on, whether public or private. ThousandEyes enables users to optimize application delivery, end-user experience and ongoing infrastructure investments.
With cloud, enterprises can innovate much faster, but the growing number of cloud and SaaS applications means that more apps are being delivered over the Internet. This increases dependence on the Internet, a public “best effort” network, and other third-party infrastructures, substantially reducing the ability of IT teams to predict, visualize and control operational behavior. This results in a chaotic and unmanageable IT environment, making issue resolution a time-consuming ordeal, potentially impacting reputation and revenue. ThousandEyes has innovated an approach based on an unmatched distribution of smart agents across the Internet and enterprise, providing visibility all the way to the end user. ThousandEyes gathers and analyzes massive volumes of Network Intelligence data from all of these vantage points, enabling organizations to solve even their most obscure performance problems in minutes. By using ThousandEyes in the planning and testing phases of cloud adoption, customers can also strategically identify and fix underlying problems before production deployment of business-critical applications.
The ThousandEyes solution is ubiquitous across industry sectors, and since launching in mid-2013, customers have come from a diverse set of industry sectors, which include Silicon Valley technology companies, financial services, healthcare, pharmaceuticals, retail, manufacturing and education.
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