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Catchpoint 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

Catchpoint
Ranking in Application Performance Monitoring (APM) and Observability
39th
Ranking in Network Monitoring Software
62nd
Ranking in Cloud Monitoring Software
32nd
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
14
Ranking in other categories
Digital Experience Monitoring (DEM) (12th)
Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Network Monitoring Software
3rd
Ranking in Cloud Monitoring Software
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
207
Ranking in other categories
IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)
 

Mindshare comparison

As of November 2025, in the Cloud Monitoring Software category, the mindshare of Catchpoint is 0.8%, up from 0.6% compared to the previous year. The mindshare of Datadog is 8.0%, down from 11.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog8.0%
Catchpoint0.8%
Other91.2%
Cloud Monitoring Software
 

Featured Reviews

AnmolRai - PeerSpot reviewer
Valuable monitoring features enhance ecommerce experience while improvement needed in region-specific insights
As part of the improvement, there are certain categories, like for the China market, where we face issues. We are currently using an external tool, Splunk, for reporting. If we could receive similar data for the China market as we do for North America and Asia Pacific, this would be helpful.
Dhroov Patel - PeerSpot reviewer
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

"Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn."
"We really need the API monitoring, as well as client side session monitoring, the global synthetic monitoring, to track the availability of the systems from the customer side."
"During business hours, it has worked absolutely fine without any issues."
"The best feature in Catchpoint is the alert or the notification my company gets frequently, in particular, every five minutes. It's the notification you get whenever a respective market has an issue. There's also a dashboard in Catchpoint that shows the markets you support, so all the markets will be highlighted graphically in the dashboard whenever there's downtime that could affect you. If there's no issue for a specific market, it will be in green, so in this way, anybody would be able to understand which market has issues and which market has no issues through Catchpoint. The tool is very useful for monitoring activities."
"The product's most valuable feature is the ability to identify and troubleshoot network issues."
"Catchpoint's customer service and support are valuable."
"The drill-down feature of this product was very good. It allowed us to identify the exact page or area of the site that was causing our customers an issue."
"The solution offers three different ways of slicing data to look for abnormalities."
"Real user monitoring has made triaging any possible bugs our users might face a lot easier."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"It has saved us a lot of trouble in implementation."
"Datadog dashboards are pretty great."
"The intuitive user interface has been one of the most valuable features for us."
"The dashboards provide a comprehensive and visually intuitive way to monitor all our key data points in real-time, making it easier to spot trends and potential issues."
"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."
"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."
 

Cons

"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"The product could include global monitoring and predictive analytics to identify widespread issues and cyber threats."
"We would like the script creation feature of this solution to be improved, as it currently requires a complicated manual process to update the scripts."
"There's still too much manual involvement in getting customized test configurations out there. It's good, but it still takes a lot of effort. In other words, it's when you need to configure it to collect a specific variable and that kind of thing."
"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."
"A room for improvement in Catchpoint is that it lacks an automated page updating feature. My company receives all the alerts and notifications it needs, but the page doesn't update automatically. You need to manually refresh the page, so every five minutes you need to refresh it to see the most updated information. If there's an automated page refresh feature, that would help my company. It's a feature that Grafana has. The page auto-refreshes in Grafana, so you don't have to manually refresh the page. If that feature is implemented in Catchpoint, it'll be useful for the users. Another area for improvement in the tool is you have to do a manual task, for example, when you have a notification for a market, you get a zip code that the user could have entered, but if the zip code is incorrect, you have to manually go into Catchpoint and update that parameter, so that manual step is another area in the tool that needs improvement."
"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"The old user version was better, it was more user-friendly."
"We need a lot of modules since we collect all data logs from all operating systems."
"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."
"Deploying the agents is still very manual."
"We need more integration functionality, including certain metrics integration."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"I love to have some DD guru come in and do a department training directly at our setup."
"Datadog could always lower the price!"
"Some of the interface is still confusing to use."
 

Pricing and Cost Advice

"The solution's pricing is comparable to the last tool we were using."
"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."
"In terms of licensing fees, I believe they were slightly higher."
"The pricing is based on consumption and works on a point scale. For example, let's say I want to look at www.google.com, and I'm going to test it to see if it's there. It will bring back all this data that tells me how long it took to connect and how long it took to get the first byte. It will list all the resources on the page, showing that they all work and there are no broken links. It brings that data back. That test has an assigned point value depending on what you decide to extract from that test. If all I do is check to see whether it's available, it might be one point. I don't know the exact point values off-hand. This is just an example."
"The solution's pricing varies based on services and licensing models."
"Our licensing fees are paid on a monthly basis."
"This solution is budget friendly."
"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."
"The price is better than some competing products."
"​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."
"The cost is high and this can be justified if the scale of the environment is big."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Licensing is based on the retention period of logs and metrics."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Retailer
13%
Real Estate/Law Firm
10%
Computer Software Company
7%
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise8
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise95
 

Questions from the Community

What do you like most about Catchpoint?
Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn.
What is your experience regarding pricing and costs for Catchpoint?
The solution's pricing varies based on services and licensing models. Clients typically see significant operational and cost efficiencies, with time savings estimated between 30% and 40%.
What needs improvement with Catchpoint?
As part of the improvement, there are certain categories, like for the China market, where we face issues. We are currently using an external tool, Splunk, for reporting. If we could receive simila...
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 ...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
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 Catchpoint vs. Datadog and other solutions. Updated: November 2025.
873,003 professionals have used our research since 2012.