

ThousandEyes and OpenText AI Operations Management compete in the digital experience monitoring and event management market. ThousandEyes has the upper hand in flexible deployment and network visibility, while OpenText AI Operations Management shines in event correlation and automation capabilities.
Features: ThousandEyes offers end-to-end digital experience monitoring, tracks network issues from multiple vantage points, and provides deep network path visualization. OpenText AI Operations Management excels in event correlation, integrates data from various monitoring systems, and provides strong automation capabilities.
Room for Improvement: ThousandEyes could improve application-level monitoring, better integrate with dashboards like Grafana, and enhance incident alerting. OpenText AI Operations Management may improve its UI, automate more repetitive tasks with AI, and simplify its complex licensing.
Ease of Deployment and Customer Service: ThousandEyes provides flexible deployment across hybrid cloud environments with responsive support services. OpenText AI Operations Management is deployable in on-premises and hybrid cloud environments but has demanding resource requirements, needing a system overhaul due to reliance on older technologies. Improving deployment ease and resource efficiency could enhance client satisfaction.
Pricing and ROI: ThousandEyes is considered expensive in regions like Latin America, but offers significant ROI through improved troubleshooting efficiency. OpenText AI Operations Management also has high pricing but offers cost savings through automation and reduced operational hours, justifying its cost for larger enterprises seeking comprehensive monitoring solutions.
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.
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 customer support for ThousandEyes is very proactive and supportive.
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.
ThousandEyes's scalability is excellent; it is very scalable and grows with my organization's needs.
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.
Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized.
Splunk is more business-friendly due to its prettier interface.
Incidents should be alerted on and traced early, before they escalate to full outages.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
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.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
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.
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.
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 | 2.1% |
| OpenText AI Operations Management | 1.0% |
| Other | 96.9% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 16 |
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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