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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
38th
Ranking in Network Monitoring Software
62nd
Ranking in Cloud Monitoring Software
31st
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
6.9
Number of Reviews
211
Ranking in other categories
IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of January 2026, in the Cloud Monitoring Software category, the mindshare of Catchpoint is 0.9%, up from 0.6% compared to the previous year. The mindshare of Datadog is 6.7%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog6.7%
Catchpoint0.9%
Other92.4%
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

"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."
"Catchpoint's customer service and support are valuable."
"The solution offers three different ways of slicing data to look for abnormalities."
"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."
"The product's most valuable feature is the ability to identify and troubleshoot network 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."
"During business hours, it has worked absolutely fine without any issues."
"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 performance of Datadog is good."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"Across CCM and the rest of Datadog, I like how sharable everything is."
"I like how we can customize alerts, and when alerts have become too noisy, we turn their threshold down fairly easily."
"The best way it has helped us is by consolidating all our logs into a single place and making it easier to find errors."
"The dashboards are great."
"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."
"The ease of graph building is nice, and MUCH easier than Prometheus."
 

Cons

"Catchpoint can be improved by focusing solely on network monitoring."
"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."
"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"The old user version was better, it was more user-friendly."
"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"As part of the improvement, there are certain categories, like for the China market, where we face issues."
"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."
"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."
"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."
"We'd like Datadog to make the log storage cheaper."
"The product can be improved by allowing the grouping of APIs to add variables. That way, any API with a unique ID could be grouped together."
"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."
"There should be a clearer view of the expenses."
"Datadog's roadmap can be a bit unpredictable at times."
"Presently, the billing CSV reports provide insights into billing-related information yet are somewhat limited in functionality, typically offering reports with only three columns."
"Datadog is expensive."
 

Pricing and Cost Advice

"The solution's pricing varies based on services and licensing models."
"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."
"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."
"It has a module-based pricing model."
"The price is better than some competing products."
"Our licensing fees are paid on a monthly basis."
"The cost is high and this can be justified if the scale of the environment is big."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"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."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Retailer
12%
Real Estate/Law Firm
8%
Manufacturing Company
6%
Financial Services Firm
14%
Computer Software Company
12%
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.
881,082 professionals have used our research since 2012.