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Datadog vs Statseeker 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
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Statseeker
Ranking in Network Monitoring Software
66th
Average Rating
8.2
Reviews Sentiment
7.6
Number of Reviews
38
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 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 Statseeker is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
Datadog2.6%
Statseeker0.4%
Other97.0%
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.
JE
Team Leader at a retailer with 10,001+ employees
We can set up a dashboard to monitor the status of an entire site, which provides more insight into any issues across devices
One engineer is enough for the solution's maintenance. There has been a significant improvement in Statseeker in the last few versions. It includes a wallet map and features we plan to implement when deploying the latest or penultimate versions across all our sites. This will significantly assist in identifying sites surpassing thresholds or KPIs, making issue detection much more accessible. The threshold feature is handy for identifying delays and major outages. This graphical map enables us to quickly assess the scope of nationwide problems, allowing for swift action and efficient reporting to management and service providers. This tool facilitates monitoring by visualizing all network elements with their respective coordinates, highlighting any downtimes or issues through color-coded green for operational, orange for approaching thresholds, yellow for minor alarms, and red for critical issues. The tool is a monitoring tool that helps in identifying problems. It is necessary to have someone trained to set up the dashboards because they might require some programming or specific configuration skills. Once it's configured, it works well. It's not as straightforward as other tools where you plug in the device, and everything works. With Statseeker, you still need to put in some effort to set up your dashboard properly. It requires someone with good training and proficiency in setting up these dashboards. They can benefit the technical and operations teams, providing useful insights into the network and the executive management team to receive reports on the overall network health. Overall, I rate the solution a seven out of ten.

Quotes from Members

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

Pros

"Datadog infrastructure monitoring has helped us identify health issues with our virtual machines, such as high load, CPU, and disk usage, as well as monitoring uptime and alerting when Kubernetes containers have a bad time staying up."
"The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"Synthetic testing has been a game-changer, allowing us to catch potential problems before they impact real users."
"Straightforward to integrate and automate."
"The solution is stable and reliable."
"It is exceptionally helpful for making our engineering more data-driven."
"We are loving the tool; it is great to have all those insights in one place."
"The product has improved our organization by simplifying monitoring and giving real-time alerts for issues we might not immediately be aware of otherwise."
"This is a very cheap solution in order for us to accomplish what we needed to do in terms of providing visibility into the network."
"The graphics and trends are the most valuable for us."
"The most important for us is how fast this solution is, as well as the granularity that you can get to, such as per-minute statistics."
"In terms of network visibility, Statseeker can be very granular. We can tell it exactly where we want it to go and where we want it to check, or it can do an SNMP walk and find out where everything is. It's very detailed."
"Just recently, we were having some issues with a certain site, and it was only Statseeker that showed us what the problem was."
"We haven't encountered any issues with stability."
"The monitoring provided by this solution helps us to track down and solve issues."
 

Cons

"The cost is high and this can be justified if the scale of the environment is big. Datadog needs to provide better pricing for large customers."
"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."
"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."
"I'd like to see better pricing and more integration in the next release."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"Datadog could be improved if it could detect other software in a container or server."
"Billing should be more transparent."
"They need to implement template variables into the message response body."
"I would like to see the solution incorporate diagnosis of the workstation."
"I would like to see a friendlier user interface in the administration tool."
"I would like to see fully automatic updates so that our version is always current."
"I would like to see the solution incorporate diagnosis of the workstation."
"We haven't seen an ROI."
"It could use more features on Netflow analyser, such as time series graphs and a single network export UDP port and UDP forwarding."
"There is no high availability over multiple locations (datacenters) and if you want to maintain what is monitored, I suggest you use the host file."
"I do not feel that this solution is very scalable."
 

Pricing and Cost Advice

"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 price is better than some competing products."
"Licensing is based on the retention period of logs and metrics."
"This solution is budget friendly."
"The cost is high and this can be justified if the scale of the environment is big."
"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."
"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."
"This tool would probably be priced well if it had deeper NetFlow capabilities, but for our use case, in particular, we're only recovering ports after ninety days and looking at circuit congestion, it's pretty pricey."
"We pay somewhere between $5,000 and $8,000 yearly in licensing fees."
"Pricing is reasonable but licensing should unlimited."
"One thing that needs improvement is how it's licensed. I understand historically the company licensed it off a same charge for everyone. I understand the company needs to make money, but how they introduced the tiered licensing model, and then multiple layers of licensing was a bit of an issue. So, on the whole, coming up with a licensing model that isn't confusing and complicated and is easy to understand would be one way to improve the product. They have told me lately that they're changing how they license stuff, but they haven't made that - as I understand it - in their marketing material public knowledge as of yet. I would say that at the moment it's a bit convoluted. It's confusing. Some of their basic licensing model is a bit of a ripoff. If you go over five or ten support calls in the basic licensing model they start charging you for support calls. I think that's a bit rich."
"When it came to selecting this solution, it came down to cost."
"Compared to other solutions such as Zabbix and AKiPS, this solution is very well priced."
"It's probably $5K a year for the license."
"The licensing cost is yearly and it's $5,000 to $8,000, I think."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Marketing Services Firm
15%
Construction Company
13%
Financial Services Firm
6%
Manufacturing Company
6%
 

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 Business2
Midsize Enterprise6
Large Enterprise34
 

Questions from the Community

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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 ...
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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
With active deployments in over 22 countries and many Fortune 100 firms, Statseeker monitors millions of interfaces in real-time. Some example customers include: FedEx, Optus, Verizon, California State University, Department of Agriculture and Fisheries, Monash University, Texas A&M University.
Find out what your peers are saying about Datadog vs. Statseeker and other solutions. Updated: March 2026.
885,444 professionals have used our research since 2012.