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.
We contacted the support team, and they resolved it within a couple of hours.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
One example is the inability to monitor very old databases with the newest version.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
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.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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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