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 support really struggles in complex situations to resolve issues.
We contacted the support team, and they resolved it within a couple of hours.
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.
What is not scalable for us is not on Elastic's side.
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.
Elastic Observability is really stable.
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.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
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.
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 find the most valuable feature of ThousandEyes is the ability to directly see the client's exact issue.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 4.3% |
| ThousandEyes | 2.8% |
| Other | 92.9% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
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 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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