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AppNeta by Broadcom vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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

AppNeta by Broadcom
Ranking in Network Monitoring Software
49th
Ranking in Cloud Monitoring Software
33rd
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
17
Ranking in other categories
Digital Experience Monitoring (DEM) (11th), DX NetOps (3rd)
Datadog
Ranking in Network Monitoring Software
3rd
Ranking in Cloud Monitoring Software
2nd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of January 2026, in the Cloud Monitoring Software category, the mindshare of AppNeta by Broadcom is 0.9%, up from 0.6% compared to the previous year. The mindshare of Datadog is 6.7%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog6.7%
AppNeta by Broadcom0.9%
Other92.4%
Cloud Monitoring Software
 

Featured Reviews

Out West - PeerSpot reviewer
Project Manager and IT Management Consultant at a integrator with 1,001-5,000 employees
Provides great visibility, offers quantifiable data, and helps with testing latency tolerance
When you look in the layer 7 environment, you actually can see the code operating against the two parties. It could be a client server, a web server, or a database server. It could be a database server and another database server. You can look at whatever those application components are and you see how they're interoperating. If for some reason, there's a runaway command or something that's inefficient, you can see the command that's being executed and the players that it's operating against. I did that with the infrastructure team and the application development team, and we could very quickly remedy problems with the application that the organization was facing for an extended period of time, even before my project was initiated. I've recently looked at their current offering and see that they can investigate Layer 7 network to see what commands are being written and passed or returned. That's quite useful. It will help identify latency and if it is related to the traffic or the code itself. That, in turn, helps people debug more quickly. We can rectify issues in days as opposed to months. I like that we have quantifiable data in order to get true measures. The solution provides more visibility into the monitoring of traffic. It helps address blind spots. It develops an intelligent fabric that gives you a more realistic view of the true traffic within the environment. When it comes to the visibility into the infrastructure, it is imperative that the people applying these probes understand the reference architecture and understand their segmentation model. Sometimes if an organization has a compliance responsibility, then normally, the segmentation models are somewhat defined. If, for some reason, the organization is open and there aren't too many like that anymore, then there are no problems. You start to segment the incident and try to understand the relationship between these different assets and the environment, it might block traffic and you might not be able to see it. When you're dealing with Cisco fabric, if for some reason you have a host hanging off a distribution switch and another host hanging off a distribution switch based on the Cisco fabric, that traffic may never hit the core switch. Sometimes people analyze NetFlow off the core, but if something is operating through a distribution switch, you will never see that traffic when you're dealing with a Cisco fabric. I define that as a layer 2 blind spot. In order for you to rectify that, you have to have probes in environments that travel through the course switch to see the full amount of traffic. Once you set up the fabric, that becomes one large network to your network environment, and they're not traffic tracking anything within it until it hits a port somewhere. Alerting is becoming more critical over time. I've been in this business for a long time. Twenty years ago we'd be in a data center and we'd have a perimeter network and we'd be done. The bottom line would be very difficult for someone to come in and compromise my environment. Then we extended our environments from on-premise into co-location. Now we actually have traffic that goes over a wide area network. As such, our security profile changes over time. At first, we would normally do it through all layer 2 relationships or VPN-type environments, but now we're doing it over the internet. The instant we poke a hole through your internet, even though we have a tunnel within it, we're exposed to a higher-threat environment. Now that we're in the cloud, we're going through a higher-threat environment. Around two years ago there was an exploit that focused on the chip. So even if I'm using a cloud provider, I'm leveraging their hypervisor, and I have my own tenancy, at the end of the day everything runs through a processor. So when that processor exploit came through, around four years ago, that problem's wide open. At the end of the day, now more than ever, monitoring is important. Somebody noticed a spike in traffic, somebody compromised the environment. It was a ransomware attack. Because of that leading indicator plus the consideration of the compute environment as well, they could shut down the attack but if they didn't have that capability, they would've been taken advantage of. Based on the ability to look for those leading indicators that can be fed back or introduced into your SIEM environment to make sure that you're responding to any threats that may occur, which are more prevalent now than ever before. The user interface they have right now is very powerful.
Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

Quotes from Members

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

Pros

"The product helps us understand networks and user experience. It helps us to understand the issues."
"The main feature that we use is what they call Delivery, which is the testing of network paths end-to-end."
"A lot of times one of the AppNeta transactions showed that there is an issue, whereas everything seemed to be working properly. Once we dug into it, we realized that it really was highlighting a problem that otherwise we would not have seen."
"The solution's technical support is very good."
"We get complete, hop-by-hop visibility into the internet and we can know how much latency is taking place from one hop to another. That way, we know whether a particular hop belongs to the ISP, or that it is something owned by our own client's office, or is something to do with the SaaS network."
"Delivery and experience are valuable. The usage in terms of the traffic application captures and other similar things is also valuable."
"This solution helps prove that, if we move to cloud, we'll still be as effective as we are on-premises."
"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."
"Datadog has allowed us to ensure that we can look at how our beta testers are using our new UIs and seeing where their frustration points are, which has been important to us."
"APM and tracing are super useful."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."
"Datadog has impacted my organization positively as this is our main observability tool when it comes to monitoring services, traces, and all resources within key services."
"Its logs are most valuable."
"The ease of graph building is nice, and MUCH easier than Prometheus."
 

Cons

"I think some of the product's documentation has shortcomings and needs improvement."
"I would like to see some advanced dashboard features. It could also be integrated with third-party tools. For example, an integration with a reporting solution would be helpful. Out-of-the-box, there are few dashboards or reports. What it does have is useful, but there should be additional dashboards."
"They should try and make diagnostics run a bit quicker. When the problem occurs on a network, AppNeta runs automatic diagnostics on the end-to-end path. The path it was testing only to the destination, it now runs the same test to all of the devices and all the intermediate devices. Depending on the number of intermediate devices, it can take several minutes to run. If we're trying to find or diagnose a problem that only lasts two or three minutes, it may be that the diagnostics is still running by the time the problem is cleared. The only thing, which I have also mentioned to AppNeta in the past, is that there should be much faster and much more lightweight diagnostics, which can be completed within 30 seconds or one minute, rather than in 5 to 10 minutes."
"Cloud monitoring could be better. That's one of the biggest pain points for me. I have shared this feedback with them multiple times, but they're limited to some extent. That's one area where I've seen a problem."
"AppNeta by Broadcom needs to add more features to its dashboards. It also needs to work on providing out-of-the-box reports."
"Instead of integrating with other people, they should expand their interior capabilities."
"Having to deal with configuring the end devices using a USB stick is a bit cumbersome. It would be nice if there was a better way of handling that."
"They should continue expanding and integrating with more third-party apps."
"We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application."
"I would appreciate seeing it as an app or mobile app for quicker issue tracking."
"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."
"The FinOps needs improvement."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"I like the idea of monitoring on the go, however, it seems the options are still a bit limited out of the box."
 

Pricing and Cost Advice

"We typically don't get involved in the commercial side, but the list price is probably something like $3,000 for a small probe. However, that gives all of the features that the probe can do, whether or not you use them. In the old days, up until two or three years ago, each of the separate features was a separately licensable module so that you could add things that you wanted, and you didn't have to add things that you didn't want. They've changed all that now, and everything the probe can do is a part of the base license."
"I find the solution's price to be fairly good."
"It's worth the money."
"Broadcom software is always a little expensive because they provide quality."
"I inherited this from a different version, and I haven't yet gone through a renewal because we had purchased three years upfront. So, to me, that still remains to be seen. Once it comes up for renewal, we'll see what happens. Especially because now it is Broadcom, it is going to change anyway."
"AppNeta by Broadcom is not expensive."
"The small probe is probably around $3,000 and the very large probe that they make for massive data centers might be $50,000 or $60,000. It's a subscription model, so the payment is per year."
"While it is an expensive product, I would rate the pricing level at four out of five."
"The solution's pricing depends on project volume."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"They prefer monthly subscriptions."
"It didn't scale well from the cost perspective. We had a custom package deal."
"The cost is high and this can be justified if the scale of the environment is big."
"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 is fairly priced but history and log storage can get costly depending on your needs."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
15%
Computer Software Company
7%
Insurance Company
7%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
 

Questions from the Community

What open source tool can one use to measure bandwidth from one's upstream service provider?
One I am looking closely at is AppNeta. They have an appliance that can digest the flow and do a better job than Netflow. The other one we are using is ExtraHop. This has both a Datacenter Hig...
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 ...
 

Overview

 

Sample Customers

Ebay, Citrix, National Instruments, Marriott, AT&T, Bon-Ton, McDonald's, Netflix, PayPal, Uber, QAD
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
Find out what your peers are saying about AppNeta by Broadcom vs. Datadog and other solutions. Updated: January 2026.
881,282 professionals have used our research since 2012.