

ThousandEyes and Elastic Observability compete in the network monitoring and observability space. ThousandEyes holds an edge with its comprehensive network visibility, whereas Elastic Observability excels in search and log management, catering well to diverse systems.
Features: ThousandEyes offers extensive monitoring capabilities for cloud providers and ISPs, user-friendliness, and application visibility for network layers. Elastic Observability supports integrated logging and monitoring, powerful search capabilities, and flexible data visualization for diverse environments.
Room for Improvement: ThousandEyes could enhance integration with other Cisco platforms and improve customization options. It lacks direct application-level monitoring. Elastic Observability needs better predictive analytics, predefined templates, and simplified asset discovery to reduce the learning curve for new users.
Ease of Deployment and Customer Service: Both solutions are deployable in on-premises and hybrid cloud environments. ThousandEyes is praised for its reliable customer service and comprehensive documentation, facilitating smoother integration. Elastic Observability's support is commendable but less frequently engaged by users.
Pricing and ROI: ThousandEyes, as a premium product, justifies its cost with significant ROI from improved network performance. Elastic Observability offers a more economical option with its open-source offerings but can become expensive for enterprise cloud users. Both deliver good ROI, with Elastic favored for cost efficiency across large-scale users.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
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.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
We contacted the support team, and they resolved it within a couple of hours.
The customer support for ThousandEyes is very proactive and supportive.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
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.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
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.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
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.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
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.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
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% |
| Elastic Observability | 2.2% |
| Other | 95.9% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 16 |
Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
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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