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Datadog vs Pandora FMS 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

Datadog
Ranking in Network Monitoring Software
3rd
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Log Management
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), Container Monitoring (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Pandora FMS
Ranking in Network Monitoring Software
77th
Ranking in IT Infrastructure Monitoring
56th
Ranking in Log Management
62nd
Ranking in Cloud Monitoring Software
45th
Average Rating
9.2
Reviews Sentiment
7.6
Number of Reviews
22
Ranking in other categories
Server Monitoring (26th)
 

Mindshare comparison

As of February 2026, in the Network Monitoring Software category, the mindshare of Datadog is 2.5%, down from 3.7% compared to the previous year. The mindshare of Pandora FMS is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog2.5%
Pandora FMS0.6%
Other96.9%
Network Monitoring Software
 

Featured Reviews

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.
Gabriel Glusgold - PeerSpot reviewer
Asociado/ at Infraestructura Informática
Personalized metrics; simplicity of data
My primary use case for Pandora is monitoring This solution has helped us improve our organization by allowing us to create a lot of metrics on several platforms, including Windows, Linux, and Unix. We then use these Pandora metrics to create an interface. We then pass the interface off to the…

Quotes from Members

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

Pros

"The best way it has helped us is by consolidating all our logs into a single place and making it easier to find errors."
"Datadog has positively impacted my organization by making finding and resolving issues a lot easier and efficient."
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"The solution has helped out organization gain improved visibility."
"We have way more observability than what we had before - on the application and the overall system."
"Dashboards are the most valuable."
"Datadog has positively impacted our organization, as it has eliminated many negative issues, which I call tool sprawl, by replacing four or five separate monitoring tools with one unified platform."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"It is easy to create your own custom modules if you just know a little bit of scripting. If you have unique requirements, you can just make your own modules. You can even grab checks from other vendors. There are open-source checks for various things such as SMTP, etc. There is a long list of different ones from Nagios. You can just use them, and within seconds, you get yourself a check that is monitoring whatever you need. It is really flexible. I guess that's why they call it Pandora Flexible Monitoring System (FMS). It is reliable. It does the job, and it alerts. It is also surprisingly feature-rich. Our network guy just recently asked about a particular protocol to monitor the bandwidth on the network, which is not a common protocol. When I looked it up, and I found that they cover it. It is very mature for a not-so-known product."
"The monitoring system within this solution is very good. It is easy to use and navigate, and makes issue alarms easily viewable."
"The administration of the console is very easy. I like that Pandora FMS is interactive and easy to manage."
"You can configure several types of architecture for high availability or load balancing."
"The solution is so lightweight that with only 4GB of ram, it allows keeping track of up to two hundred agents from a single console."
"The network monitoring and configuration within this solution is very good."
"Features I have found most valuable with Pandora are the personalized metrics and the simplicity of data."
"It provides us with proactive monitoring and is very easy to configure and maintain."
 

Cons

"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."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"We need more advanced querying against logs."
"I would like better navigability across pages."
"I rate Datadog an eight out of ten because the expense of using it keeps it from being a nine or ten."
"The monitors need improvement."
"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."
"One key improvement we would like to see in a future Datadog release is the inclusion of certain metrics that are currently unavailable. Specifically, the ability to monitor CPU and memory utilization of AWS-managed Airflow workers, schedulers, and web servers would be highly beneficial for our organization."
"It would be helpful to include the generation of reports for times that the network was out of service."
"Improvements are needed for server and network discovery, including service-based discovery."
"I would like to have a dashboard with all assets displayed, with a quick hover-over status."
"I think some improvements to the Android app would be good."
"Their support is good, but it is just online communication. It would be great to be able to just call someone and talk to them instead of always writing. It works well for me because I am a decent communicator in email, but some people might find it difficult to describe in a written fashion and communicate with them that way. There is a learning curve to the interface, but once you get used to it, it is actually very powerful. They have a lot of options, but people struggle with the interface. They've improved it though, and it is getting better. They need to keep improving the learning curve to help buy-in. I'm the guy that manages it, so I'm comfortable with it. They can refine the upgrade agents to be easier. They can also do more refinement in end-user usability because not everyone is strong technically, and people who aren't strong technically might be averse to the product, even though it has come a long way. It has a complete GUI and everything."
"I would like for the solution to be faster and have a better tolerance between parallel servers for Pandora and Pest Control."
"In the future, we may have double the number of devices, and we do not want to have any issues with performance in the data display."
"The price for Pandora FMS is expensive."
 

Pricing and Cost Advice

"The solution is fairly priced but history and log storage can get costly depending on your needs."
"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."
"They prefer monthly subscriptions."
"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."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"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."
"Our licensing fees are paid on a monthly basis."
"Pandora FMS is easy to implement and the pricing of licenses is competitive."
"The Open Source Community Edition is great to just explore the software, or use it on medium-sized infrastructures."
"You have to pay for the number of agents and models that you are monitoring. I would rate the cost at three with one being the most expensive and five being the cheapest."
"Growing the solution or migrating to the Enterprise version is easy, and various plans are available."
"Only one payment and it includes support, updates, new versions, and access to the complete library of plugins except for SAP and z/OS."
"My rule of thumb would be that if you need more than thirty agents, and you lack an automation tool such as Chef or Puppet, you will save a lot of time and money going to the Enterprise edition."
"The open-source version offers 100% functionality and the hardware requirements for a solution like this one are very modest."
"You get the license and it includes updates, new versions, and access to the complete library of modules."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
6%
Comms Service Provider
13%
Government
10%
Outsourcing Company
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise4
Large Enterprise3
 

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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
Rakuten, Prosegur, Repsol, Teléfonica, Allianz, Ottawa Hospital, Hughes
Find out what your peers are saying about Datadog vs. Pandora FMS and other solutions. Updated: January 2026.
882,160 professionals have used our research since 2012.