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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

"During business hours, it has worked absolutely fine without any issues."
"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's customer service and support are valuable."
"Catchpoint helped us establish that something is in a provider network, so we could tell our customers to check their internet provider because the traffic is not getting to us. You need to be gentle when you tell them that, but the fact that we could do it was crucial."
"Catchpoint provides a great amount of information."
"The product's most valuable feature is the ability to identify and troubleshoot network issues."
"The thing I like most is the tech support in this company, because they have 24/7 chat support. We can chat immediately and ask them about an issue and they keep responding. They create tickets on our behalf and respond."
"The solution offers three different ways of slicing data to look for abnormalities."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"Datadog has impacted our organization positively in a major way because not even just as a QA engineer having access to the real-time replay, but just as a team, all of us being able to access this data and see what parts of our system are causing the most errors or resulting in the most frustration with users."
"The dashboards and the performance of the software have been great."
"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"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 impacted our organization positively because the general feeling is that it's superior to the ELK stack that we used to use, being significantly faster in searching and filtering the information down, as well as providing links to our search criteria that our development teams and cloud operations teams can use to look at the same problems without having to set up their own search and filter criteria."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
 

Cons

"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"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."
"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."
"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."
"As part of the improvement, there are certain categories, like for the China market, where we face issues."
"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."
"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."
"As part of the improvement, there are certain categories, like for the China market, where we face issues."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"The hardest thing we experience is just training people on what to search for when identifying a problem in Datadog, and having some additional training that might be easily accessible would probably be a benefit."
"Datadog's roadmap can be a bit unpredictable at times."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"There is always room for improvement when dealing with cloud-based technologies. Mainly, I would say, it's just increasing our offerings to attract various other types of industries and businesses across more fields."
"While it’s powerful, the interface can feel cluttered and overwhelming for new users."
 

Pricing and Cost Advice

"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."
"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."
"It has a module-based pricing model."
"​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."
"It didn't scale well from the cost perspective. We had a custom package deal."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The price is better than some competing products."
"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."
"They prefer monthly subscriptions."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
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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.