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Catchpoint vs Datadog 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

Catchpoint
Ranking in Application Performance Monitoring (APM) and Observability
40th
Ranking in Network Monitoring Software
58th
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) (11th)
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
6.9
Number of Reviews
211
Ranking in other categories
IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of February 2026, in the Cloud Monitoring Software category, the mindshare of Catchpoint is 1.0%, up from 0.6% compared to the previous year. The mindshare of Datadog is 6.5%, down from 11.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog6.5%
Catchpoint1.0%
Other92.5%
Cloud Monitoring Software
 

Featured Reviews

AnmolRai - PeerSpot reviewer
Technical Consultant Project Lead at a consultancy with 10,001+ employees
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
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

"Catchpoint's customer service and support are valuable."
"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."
"One of the features, the scatter plot, is very useful. It shows red dots wherever there are 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 solution offers three different ways of slicing data to look for abnormalities."
"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."
"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."
"Catchpoint provides a great amount of information."
"The dashboards and the performance of the software have been great."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"The solution is sufficiently stable."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"Our teams use Datadog more than they used their old observability tool—they're more production-aware, conscious of how their changes are impacting customers, how the changes they make to their application speed up or slow down their app, and the overall request flow."
"Datadog has allowed us to ensure that we can look at how our beta testers are using our new UIs and seeing where their frustration points are, which has been important to us."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
 

Cons

"The old user version was better, it was more user-friendly."
"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"Trending needs improvement. Currently, out-of-the-box, they provide only seven days availability. So, we have to do queries and we have to go into a separate analysis module, we have to run lot of queries to long-term trends."
"The product could include global monitoring and predictive analytics to identify widespread issues and cyber threats."
"if we need to do performance analysis, we have to click too many times. For example, if there is an issue that is caught by Catchpoint, we need to understand what the error is and at which step it failed, or which transaction that is impacted. To drill down, we have to click too many things to get the answer."
"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."
"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."
"Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work."
"I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive."
"I believe Datadog could be improved because sometimes it's not the most user-friendly, and when monitors have a new metric or a service that no longer needs to be monitored, it remains in the system."
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."
"The FinOps needs improvement."
"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."
"In my experience, Datadog is stable, though there's typically at least one or two incidents per week."
"We need to learn more about the session reply feature inside of DD."
 

Pricing and Cost Advice

"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."
"In terms of licensing fees, I believe they were slightly higher."
"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."
"The solution's pricing is comparable to the last tool we were using."
"The price is better than some competing products."
"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."
"It didn't scale well from the cost perspective. We had a custom package deal."
"Our licensing fees are paid on a monthly basis."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"This solution is budget friendly."
"The tool is open-source."
"They prefer monthly subscriptions."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Retailer
12%
Real Estate/Law Firm
9%
Manufacturing Company
6%
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
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 Enterprise99
 

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: January 2026.
881,707 professionals have used our research since 2012.