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Centerity Monitor vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

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

Centerity Monitor
Ranking in IT Infrastructure Monitoring
71st
Average Rating
7.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Datadog
Ranking in IT Infrastructure Monitoring
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of January 2026, in the IT Infrastructure Monitoring category, the mindshare of Centerity Monitor is 0.4%, up from 0.1% compared to the previous year. The mindshare of Datadog is 4.1%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
Datadog4.1%
Centerity Monitor0.4%
Other95.5%
IT Infrastructure Monitoring
 

Featured Reviews

reviewer1312155 - PeerSpot reviewer
Andean Region Manager at a consultancy with 1-10 employees
A user-friendly solution that comes with a valuable machine learning feature
We use Centerity to monitor some business views related with ERP systems. For example we use this monitor to mesure electronic billing process. As a part of digital Transformation process coporation automates some process to avoid delays and human mistakes and we incorporated Centerity Platform to…
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 machine learning feature is valuable."
"The application performance monitoring is pretty good."
"Monitors have also been very valuable when setting up our on-call processes. It makes it easy to set up and adjust alerting to keep our teams aware of anything going wrong."
"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
 

Cons

"They can improve the functionality that provides some numbers related to the behavior of the metrics."
"I would like to see the integration between PagerDuty and Datadog improved. The tags in Datadog don't match those in PagerDuty, and we have to make it work."
"The pricing is a bit confusing."
"I spent longer than I should have figuring out how to correlate logs to traces, mostly related to environmental variables."
"One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"I would appreciate seeing it as an app or mobile app for quicker issue tracking."
"The FinOps needs improvement."
 

Pricing and Cost Advice

Information not available
"The cost is high and this can be justified if the scale of the environment is big."
"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."
"Licensing is based on the retention period of logs and metrics."
"Our licensing fees are paid on a monthly basis."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"This solution is budget friendly."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise98
 

Questions from the Community

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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 ...
 

Comparisons

 

Overview

 

Sample Customers

Centerity Systems has thousands of customers world wide, including Fortune 500 Enterprises such as Cisco, General Electric, Siemens, Harris Corporation, and Coca-Cola.
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 Centerity Monitor vs. Datadog and other solutions. Updated: January 2026.
880,745 professionals have used our research since 2012.