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Datadog vs Icinga 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 Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Log Management (4th), Container Monitoring (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Icinga
Ranking in Network Monitoring Software
26th
Ranking in IT Infrastructure Monitoring
30th
Ranking in Cloud Monitoring Software
24th
Average Rating
7.6
Reviews Sentiment
6.1
Number of Reviews
17
Ranking in other categories
Server Monitoring (14th)
 

Mindshare comparison

As of March 2026, in the Network Monitoring Software category, the mindshare of Datadog is 2.6%, down from 3.6% compared to the previous year. The mindshare of Icinga is 1.5%, down from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
Datadog2.6%
Icinga1.5%
Other95.9%
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.
Harrison Bulley - PeerSpot reviewer
Senior Infrastructure Engineer at Net Consulting
A stable, scalable and cost-effective solution that helps with inbuilt scripts for easy modification
I think the software is quite good, but we have had problems with getting it to recognize certain areas and amend certain checks, where we needed so we would have to create backend scripts for those checks. Though, being open source, it has the support to create backend scripts, it would be better to have these scripts in-built.

Quotes from Members

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

Pros

"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"Dashboards are the most valuable."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"Across CCM and the rest of Datadog, I like how sharable everything is."
"The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs."
"We have way more observability than what we had before - on the application and the overall system."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"Icinga has multiple automation and integration features. There is an API for everything and a web UI for configurations. The APIs enable you to automate tasks in Icinga. We can also use plugins to talk to the API. The Icinga Director talks to a database in the background, and you can import settings from the CMDB to all systems in Icinga."
"The apply rules feature saves a lot of time."
"The drafts are easy but what I like about Icinga is that there are many add-ons that you can download."
"Icinga does the job and is fairly stable."
"The ability to customize scripts and build your own queries to request information from the infrastructure elements you want to monitor. This level of personalization and customization is highly appreciated."
"We have found the solution to be stable."
"The best thing about the solution is how it highlights errors, the issues, and what needs my attention. The solution directs me to areas that I should look for first."
"Macros and the ability to connect it to Google Maps are valuable features."
 

Cons

"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."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"Lately, chat support has a longer waiting time."
"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 could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"The PagerDuty integration could be a little bit better."
"The solution needs to integrate AI tools."
"Datadog is expensive."
"Icinga’s automation could be improved."
"We have found some problems with Nagios, and support isn't very responsive."
"At this time, the layout of the website is a bit difficult. It should be more user-friendly for changing the background and logos."
"In general, the product does not look good. However, it does what it is supposed to do. So, the improvements should focus on usability and UI."
"It needs Trap SNMP. I saw the documentation for Zabbix, that it has its own built-in product which handles SNMP traps, and there's nothing similar in Icinga or Nagios. I think this feature is most important for me."
"One thing that Icinga lacks is the capability to create advanced and customized dashboards within the tool itself."
"The installation and configuration are very complex."
"The user interface should be improved."
 

Pricing and Cost Advice

"The solution's pricing depends on project volume."
"They prefer monthly subscriptions."
"While it is an expensive product, I would rate the pricing level at four out of five."
"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 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 tool is open-source."
"This solution is budget friendly."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"Even though Icinga's financial cost is low, it is an expensive product regarding the resources required to maintain and operate it."
"It's an open-source solution."
"The solution is free to use."
"This is an open-source solution with paid support."
"We're using the free version of Icinga."
"The product is inexpensive compared to other DBM products."
"The solution is cheap."
"It is cost-effective, and the return on investment can be very interesting because the price is low."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
6%
Educational Organization
16%
Comms Service Provider
11%
Financial Services Firm
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise7
 

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 your experience regarding pricing and costs for Icinga?
It is cost-effective, and the return on investment can be very interesting because the price is low. If you want to include this product in the services you offer to your customers, the return on i...
What needs improvement with Icinga?
There is room for improvement in multi-tenancy. It's not perfect, not even really good. It's average, but it should be improved. For instance, multi-tenancy for monitoring the virtual infrastructur...
What is your primary use case for Icinga?
We use Icinga as a monitoring solution to monitor customers' infrastructures. We work as a managed service provider, so we offer monitoring and many other services to our customers. So we use it in...
 

Comparisons

 

Also Known As

No data available
Icinga Cloud Monitoring
 

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
Puppet Labs, Audi, Spacex, Debian, Snapdeal, McGill, RIPE Network Coordination Centre
Find out what your peers are saying about Datadog vs. Icinga and other solutions. Updated: March 2026.
884,706 professionals have used our research since 2012.