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Elastic Observability vs ThousandEyes comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.
Sentiment score
5.7
ThousandEyes enhances efficiency and network performance, saving time and resources, achieving ROI in two to three years.
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.
Technology Consultant at Hybrid software
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.
Senior cloud engineering lead and IT project owner at KDD
The return on investment is immediate, delivering a 40% to 60% reduction in MTTR by eliminating multi-team war rooms and saving hundreds of engineering hours annually through instant ISP path proof, directly protecting business productivity and SaaS SLA accountability.
Network engineer at a tech vendor with 10,001+ employees
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.
Project Manager at Procter & Gamble
 

Customer Service

Sentiment score
7.6
Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.
Sentiment score
7.1
ThousandEyes support is praised for responsiveness and expertise, though response times can vary based on issue priority.
Elastic support really struggles in complex situations to resolve issues.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Their excellent documentation typically helps me solve any issues I encounter.
Technology Consultant at Hybrid software
We contacted the support team, and they resolved it within a couple of hours.
System Operation Associate at a financial services firm with 10,001+ employees
I would give it a rating of 10 because whenever we have any issues, we can typically reach someone who has the knowledge to help us.
Network Engineer Iii at a healthcare company with 5,001-10,000 employees
Customer support is very prompt, offering on-demand services and support with separate teams for high-level guidance and break-fix issues.
Observability Consultant at a computer software company with 11-50 employees
 

Scalability Issues

Sentiment score
7.2
Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.
Sentiment score
7.3
ThousandEyes provides scalable solutions and seamless integrations for diverse environments, though licensing costs may impact expansion.
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.
Technology Consultant at Hybrid software
Elastic Observability seems to have a good scale-out capability.
Chief Cloud Architect at a tech services company with 11-50 employees
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.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
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.
Network Assistant Engineer at Staffordshire and Shropshire Health Informatics Service
ThousandEyes's scalability is excellent; it is very scalable and grows with my organization's needs.
Project Manager at Procter & Gamble
We could easily add hundreds of devices with no issue.
Senior Security Consultant at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
8.2
Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.
Sentiment score
8.0
ThousandEyes is praised for its stability and reliability, with minimal downtime and consistent performance despite occasional minor bugs.
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.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Product Owner at Swisscom
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Technology Consultant at Hybrid software
From my experience, ThousandEyes has been stable up to 95%; I have not seen any stability issues.
Senior cloud engineering lead and IT project owner at KDD
I did not see any downtime.
Senior Security Consultant at a tech vendor with 10,001+ employees
ThousandEyes is not very stable; sometimes you have to reboot the servers to get actual results.
Network Assistant Engineer at Staffordshire and Shropshire Health Informatics Service
 

Room For Improvement

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.
ThousandEyes needs user interface, integration, and licensing improvements, enhanced monitoring, security features, and simpler processes.
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.
Senior Consultant at Skillfield
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
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.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Incidents should be alerted on and traced early, before they escalate to full outages.
Software Developer at The Code
I think the pricing, setup cost, and licensing for ThousandEyes are too costly.
R&D at a comms service provider with 51-200 employees
Instead of that, if the platform itself is able to identify the problem and give a suggestion instantly for rectification or correction of the problem, through the necessary approval of the platform owner or the SMEs, with their approval, it could correct the problem by itself.
Global Product Monitoring Network Services Owner at a pharma/biotech company with 10,001+ employees
 

Setup Cost

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.
ThousandEyes pricing is generally seen as competitive but complex, with costs influenced by region and deployment factors.
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.
Product Owner at Swisscom
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Chief Cloud Architect at a tech services company with 11-50 employees
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Senior Consultant at Skillfield
My experience with pricing, setup cost, and licensing has been that everything was cost-effective.
Project Manager at Procter & Gamble
My experience with pricing, setup cost, and licensing is that it comes in cheaper than alternatives.
Lead Technical Consultant at a financial services firm with 5,001-10,000 employees
It's too complex, too expensive, and it takes a lot of time to manage the licensing model.
Senior Consultant at a tech services company with 1,001-5,000 employees
 

Valuable Features

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.
ThousandEyes enhances network monitoring with global visibility, early issue detection, rapid troubleshooting, and seamless Cisco integration for improved experience.
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.
Chief Cloud Architect at a tech services company with 11-50 employees
the most valued feature of Elastic is its log analytics capabilities.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Product Owner at Swisscom
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.
Senior cloud engineering lead and IT project owner at KDD
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.
Project Manager at Procter & Gamble
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.
Vice President, Finance and Operations at Fruitist
 

Categories and Ranking

Elastic Observability
Ranking in Cloud Monitoring Software
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th), IT Infrastructure Monitoring (15th), Log Management (16th), Container Monitoring (5th)
ThousandEyes
Ranking in Cloud Monitoring Software
8th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
35
Ranking in other categories
Network Monitoring Software (8th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of November 2026, in the Cloud Monitoring Software category, the mindshare of Elastic Observability is 1.8%, down from 3.9% compared to the previous year. The mindshare of ThousandEyes is 1.8%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Mindshare Distribution
ProductMindshare (%)
ThousandEyes1.8%
Elastic Observability1.8%
Other96.4%
Cloud Monitoring Software
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
Siddumanisria Mindi - PeerSpot reviewer
Network engineer at a tech vendor with 10,001+ employees
Monitoring has transformed internet visibility and speeds up resolving external service issues
ThousandEyes needs to specify unit consumption forecasting or scaling testing and deeper app analytics. It needs deeper out-of-the-box Layer 7 code or database-level insights. Additionally, it should unify the GUI with broader Cisco platforms and flatten the learning curve, adding better correlation with local laptop system metrics such as endpoint depth, CPU, RAM, or processes. ThousandEyes isn't designed to be a full-blown SNMP monitoring tool for on-premises infrastructure. While it tracks network paths effectively, it doesn't provide deep local device telemetry such as switch port buffer utilization, fan status, or power supply health. For full internal device monitoring, you'll still need to pair it with traditional tools such as SolarWinds or Cisco Catalyst Center.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
9%
Comms Service Provider
8%
Outsourcing Company
7%
Financial Services Firm
11%
Manufacturing Company
9%
Healthcare Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise25
 

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
What is the best network monitoring software for large enterprises?
It actually depends on the exact purpose or requirements. Some tools are better for only network devices while others are better from a cloud monitoring or APM monitoring perspective. You can check...
What needs improvement with ThousandEyes?
I believe ThousandEyes is working perfectly, but I feel that with more AI integration, it could flag issues with more detailed error information, which would help support engineers immediately pinp...
What is your primary use case for ThousandEyes?
My main use case for ThousandEyes is that it checks our product website, and if it flags that it is unable to log in, it checks for all the components from all the agents, which are from different ...
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Wayfair, GitHub, Craigslist, Comcast, SurveyMonkey, Lyft, Box, HP, Zendesk, IO Data Centers, Good Technology, NNTCommunications, Proofpoint, Schneider, Crowdstrike, Avera, Pitney Bowes, InstartLogic, Shutterfly, Shutterstock, Condé Nast, Roche, Jive, Actelion, Brocade, Infor, Okta, JLL, DigitalOcean, Zuora, NetSuite, CloudFlare, One, DemonWare, Quantcast, Carbonite, CareerBuilder, Prosper, Oscar, Slack
Find out what your peers are saying about Elastic Observability vs. ThousandEyes and other solutions. Updated: September 2026.
920,574 professionals have used our research since 2012.