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Datadog vs ThousandEyes comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 2025

Review summaries and opinions

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

Categories and Ranking

Datadog
Ranking in Network Monitoring Software
3rd
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
ThousandEyes
Ranking in Network Monitoring Software
6th
Ranking in Cloud Monitoring Software
15th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
16
Ranking in other categories
Digital Experience Monitoring (DEM) (4th)
 

Mindshare comparison

As of April 2025, in the Network Monitoring Software category, the mindshare of Datadog is 3.5%, down from 4.7% compared to the previous year. The mindshare of ThousandEyes is 3.7%, down from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Satyavrat Nirala - PeerSpot reviewer
Offers user monitoring and Internet insights and include customer journeys
It’s evolving; I feel it needs more holistic integration. It needs more improvement. It’s very good, but the integration can be slightly complicated on different platforms. I used it for a healthcare organization, and the integration was slightly challenging. In future releases, I would like to explore AI capabilities. AI would be more valuable because it works across different cloud and server systems. It looks into issue detection and insight modeling, so that is something I feel will be very helpful in the near future. More AI because of compliance and other challenges, not because of the product challenge. It’s about regulations, and we have HIPAA laws in the US and many different kinds of laws. Because of that, these specific elements and certain units don’t allow the tooling system to be fully utilized. We also support a certain segment of healthcare, which is the army healthcare segment, which is more government-controlled. There are certain restrictions in moving into the cloud. That’s where I thought those elements might need some more improvement. Also, looking into how we’ll be able to use more data visualization. It has it, but it doesn’t give you everything. If you look into the elements of use and so many other elements are there, but the UI/UX also has to be improved a bit, I feel. From a developer’s standpoint, it’s very easy, but from a consultant’s standpoint, there can be more enhancement, like one-click view and one-click report generation. Those things should be more seamless.

Quotes from Members

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

Pros

"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"Datadog's learning platform is second to none."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"Excellent autocomplete for everything in the UI."
"The monitoring functionality, in general, and tagging infrastructure are great."
"Dashboards are helpful for reviewing occasionally to get a higher-level overview of what's happening."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"The ease of correcting these dashboards and widgets when needed is amazing."
"The company provides excellent service."
"The tool's most valuable feature is its scalability. It is a good tool for network admins."
"The solution's most valuable feature is the path analyzer, which identifies the node causing the errors."
"The solution is very easy to use."
"The authentication overall - including to the VPN and LAN - is excellent."
"It's fairly easy to set up."
"The most valuable features are integration and ease of use."
"The installation process is not hard at all."
 

Cons

"I love to have some DD guru come in and do a department training directly at our setup."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"In production, we intend to use trace IDs generated by RUM to attach to support tickets when a user experiences a traceable network error, and we want to display this trace ID to the user so if they were to contact us about a specific issue, they can provide us an exact ID displayed to them back to us. Currently, this is not possible out-of-the-box client-side without inventing our own solution for capturing these trace IDs, such as shimming the native fetch or returning the ID from the service response."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"A tool as powerful as Datadog is, understandably, going to have a bit of a learning curve, especially for new team members who are unfamiliar with the bevy of features it offers."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"The solution should provide alerts for cloud outages."
"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."
"Presently, it lacks the ability to integrate with other Cisco products."
"I would like the product to offer more agility."
"The tool does not provide features for application-level monitoring."
"More detailed documentation explaining the metrics and the testing mechanisms would be helpful."
"ThousandEyes should expand its application monitoring to monitor some communication applications."
"The solution's network and reporting could be improved."
"There is room for improvement in terms of customization and user-friendliness."
"They only offer synthetic requests."
 

Pricing and Cost Advice

"The price is better than some competing products."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"They prefer monthly subscriptions."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"The solution's pricing depends on project volume."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"The solution's pricing is cheap; I rate it a five out of ten."
"It is a quite expensive solution."
"The solution is cheap."
"In our company, we incur a yearly expense in our company for the licensing part. I rate the solution's pricing a seven out of ten since it is expensive."
"The solution costs several thousand dollars per year."
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Top Industries

By visitors reading reviews
Educational Organization
37%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Computer Software Company
21%
Financial Services Firm
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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?
When I first started using ThousandEyes, I found it challenging to extract useful information due to the numerous options available. I needed some training to effectively troubleshoot. More detaile...
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
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 Datadog vs. ThousandEyes and other solutions. Updated: February 2025.
845,040 professionals have used our research since 2012.