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Nagios Log Server vs Stackify comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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

Nagios Log Server
Ranking in Log Management
45th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Stackify
Ranking in Log Management
56th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (59th), IT Infrastructure Monitoring (68th)
 

Mindshare comparison

As of September 2026, in the Log Management category, the mindshare of Nagios Log Server is 0.9%, up from 0.8% compared to the previous year. The mindshare of Stackify is 0.8%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Nagios Log Server0.9%
Stackify0.8%
Other98.3%
Log Management
 

Featured Reviews

Syarul Idzuddin Adzmi - PeerSpot reviewer
Operation Director at Digital Pulse Sdn Bhd
A scalable and affordable tool for monitoring data centers
Five engineers are needed for the maintenance of the product. I would definitely recommend the solution to those planning to use it. To increase the rating for the product, Nagios should offer remote support and offer more customization in reporting while making it easy for the customers to use it. Overall, I rate the solution an eight out of ten.
Moses Arigbede - PeerSpot reviewer
Head of DevOps at Partsimony
Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure
They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

Quotes from Members

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

Pros

"The product is scalable."
"The initial setup of Nagios Log Server was easy and straightforward."
"My company is a featured partner of Nagios XI, so I'm implementing Nagios XI in different companies and supporting the product, and I'd recommend the solution because it offers a lot of benefits and has a good dashboard, it's pretty easy to get up and running, and the pricing is good."
"A great feature of the solution involves its internal portal."
"One of the most valuable features is the dashboard because the UI was effective and easy to use. The alert systems are good as well. We had no failovers and had high availability. We can search the queries fast as well in Nagios Log Server."
"We switched from New Relic and Loggly as it provides us more info at a lower price."
"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."
"The performance dashboard and the accurate level of details are beneficial."
"The deployment is very fast."
"What stood out to us were the metrics and granular details we received."
"The solution is stable and reliable."
"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."
"It is very simple and very easy to configure."
 

Cons

"As we are talking about a product which is open to the public, the pricing makes it challenging for us to profit off of its marketing."
"The support could be better. They only offer email support."
"The customization and dashboards have shortcomings and need to be improved to make the tool look more presentable."
"The configurations during initial setup could be improved. If they could be agentless, as in the case of the Ansible product, it would be better. I would like to be able to analyze the network bandwidth."
"The configurations during initial setup could be improved."
"Another improvement would be the agent memory utilization, which led to our recent reevaluation."
"Better mobile support."
"The search feature could be improved."
"When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs."
"I would like to be able to see metrics about individual running containers on the host machines."
"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."
"It's not easy to set up. It's hard especially for juniors to understand."
"It should be easily scalable and configurable in different instances."
 

Pricing and Cost Advice

"For a single instance, the price is around $4,000."
"We found the pricing to be quite affordable."
"On a scale of one to ten, where one is expensive, and ten is cheap, I rate the pricing an eight or nine."
"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."
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Top Industries

By visitors reading reviews
Government
13%
Computer Software Company
10%
Manufacturing Company
8%
Comms Service Provider
8%
Comms Service Provider
19%
Construction Company
19%
Outsourcing Company
8%
Media Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

Overview

 

Sample Customers

IBM, impulse, wipro, comteco
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about Nagios Log Server vs. Stackify and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.