Datadog vs ExtraHop Reveal(x) for IT Operations comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Juniper Mist Premium Analytics
Sponsored
Ranking in Network Monitoring Software
60th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Datadog
Ranking in Network Monitoring Software
2nd
Average Rating
8.6
Number of Reviews
137
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
ExtraHop Reveal(x) for IT O...
Ranking in Network Monitoring Software
57th
Average Rating
8.6
Number of Reviews
8
Ranking in other categories
Network Diagnostics (6th), IT Operations Analytics (9th), Network Packet Capture (2nd)
 

Market share comparison

As of June 2024, in the Network Monitoring Software category, the market share of Juniper Mist Premium Analytics is 0.4% and it decreased by 34.8% compared to the previous year. The market share of Datadog is 4.2% and it decreased by 26.8% compared to the previous year. The market share of ExtraHop Reveal(x) for IT Operations is 0.9% and it increased by 14.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software
Unique Categories:
No other categories found
Application Performance Monitoring (APM) and Observability
8.0%
IT Infrastructure Monitoring
4.7%
IT Operations Analytics
2.7%
 

Featured Reviews

Shiva_Prasad - PeerSpot reviewer
Jan 25, 2024
A cloud solution for warehousing with a troubleshooting feature
The initial setup is straightforward. It's based on user requirements. We also conduct heat mapping using a couple of tools. The only requirement is to understand the technical or configuration aspects from the user's end and then configure it. Mist takes no more than 15 to 20 minutes for a particular deployment. You need to understand the end user's environment and have a concrete plan on whether it's a greenfield installation or an existing one, considering the density and height. Based on that, we need to develop a passive heat map. Then, you need to discuss with the user to understand exactly what needs to be configured and what they require in their environment. Based on that, you can proceed with the installation. Additionally, you can perform post-installation heat mapping to ensure it matches the earlier heat map. I rate the initial setup an eight out of ten, where one is difficult, and ten is easy.
PG
Dec 6, 2022
Great monitors and APM with helpful Terraform support
Delta traces on the Golang profiler are extremely expensive concerning memory utilization. In a Kubernetes environment where we would like to set per-pod memory allocations as low as possible, the overhead of that profiler feature is prohibitive. In one case, our pods (which were provisioned to target 250 MB and max at 500 MB memory) got stuck in a crash loop due to out-of-memory, which was caused entirely by the delta profiles feature of the profiler. Multistep Datadog synthetics lack the feature of basic arithmetic. For our use case, performing basic arithmetic on the output of previous steps to produce input for subsequent steps would be extremely useful.
Out West - PeerSpot reviewer
Feb 27, 2023
Great for identifying application interdependencies with helpful support but needs better visualizations
We're just trying to identify the application interdependencies, which normally reside on different servers, including web servers, database servers, enterprise service bus, et cetera, up to your presentation layer before we start moving stuff around. Normally, the reason why we use these tools is to understand what assets we have, where they're deployed, and how they enter and operate before we decide to go move something from point A to point B. The solution is going to allow me to establish a wave or migration plan where you have different waves of migration and then you actually have move groups to try and get your application moved from A to B seamlessly. A to B could be on-premise to on-premise. It could be on-premise to cloud. Et cetera. The solution can tell me what components can I deploy, for example, into a cloud space, without having to refactor my applications since that can be quite time-consuming and costly.

Quotes from Members

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

Pros

"We can manage the entire system across the network and troubleshoot the pain points."
"The single dashboard is a valuable feature."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"Datadog dashboards are pretty great."
"The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"The most valuable aspect is for us to have everything in one place."
"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."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"This solution is more applications reference architecture focused. Its benefit is that it specializes in that space."
"Wire data analytics."
"There are many valuable features in this product, but probably the biggest is the customization capability it has."
"The most valuable feature is the way it handles data, from Layer 2 up to Layer 7. We can see everything that happens in the network."
"Not only can you look at the protocol import level. It also has a live PCAP analysis."
"The most valuable features are security detections, perimeter detection, dashboards, and alerts."
 

Cons

"The technical support needs improvement."
"The Wi-Fi side needs improvement."
"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"It seems that admin cost control granularity is an afterthought."
"I found the documentation can sometimes be confusing."
"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."
"I'd like to see better pricing and more integration in the next release."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"We would really like to see more from the Service Catalog."
"They have a new solution, ExtraHop Reveal(x), and I think it needs improvement."
"Network visibility is something that needs to be improved."
"I would improve the Rule-Based Access Control (RBAC) by providing granular access control to the data."
"This solution would be improved if it had the ability to retain data longer."
"They either have to go broad or decide what their bread and butter is and get really good at that."
"We'd like to see a local presence within the region in order to have seamless service whether it's the support, the implementation, or professional services."
 

Pricing and Cost Advice

"The solution is expensive."
"The solution's pricing depends on project volume."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The price is better than some competing products."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"The price of this solution for our environment is about £650,000 ($855,000 USD) for three years."
"The pricing is higher than other solutions, but with such good features, I think it's worth it."
"The pricing is fair considering the value provided."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
12%
Manufacturing Company
9%
Government
8%
Educational Organization
32%
Computer Software Company
12%
Financial Services Firm
10%
Manufacturing Company
7%
Educational Organization
52%
Financial Services Firm
10%
Computer Software Company
6%
Government
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Juniper Mist Premium Analytics?
We can manage the entire system across the network and troubleshoot the pain points.
Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems,...
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 time...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was t...
What do you like most about ExtraHop Reveal(x) for IT Operations?
This solution is more applications reference architecture focused. Its benefit is that it specializes in that space.
What needs improvement with ExtraHop Reveal(x) for IT Operations?
What they can improve would be building a broader reach in terms of capabilities. At the same time, there are other t...
 

Overview

 

Sample Customers

Information Not Available
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
Alaska Airlines, bet365, Concur, McKesson, Microsoft, Morgan Stanley, Practice Fusion, Seattle Children's Hospital, Steward Health Care System
Find out what your peers are saying about Datadog vs. ExtraHop Reveal(x) for IT Operations and other solutions. Updated: May 2024.
787,061 professionals have used our research since 2012.