Catchpoint vs Datadog comparison

Catchpoint and Datadog are both solutions in the Cloud Monitoring Software category. Catchpoint is ranked #31 with an average rating of 8.0, while Datadog is ranked #2 with an average rating of 8.7. Catchpoint holds a 0.9% mindshare in CMS, compared to Datadog’s 6.7% mindshare. Additionally, 100% of Catchpoint users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

Catchpoint

Read 14 Catchpoint reviews

1,967 Views
669 Comparison Views

100% willing to recommend

Datadog

Read 210 Datadog reviews

22,772 Views
6,832 Comparison Views

97% willing to recommend

Catchpoint

Datadog

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Executive SummaryUpdated on Oct 19, 2025

Catchpoint and Datadog are competing products in the monitoring and performance management space, with Datadog often having the upper hand due to its comprehensive feature set.

Features: Catchpoint provides detailed network visibility, real-time performance data, and transaction monitors. Datadog offers extensive integrations, a unified platform for server, database, and app metrics, and cloud-scale observability.

Room for Improvement: Catchpoint could enhance its cloud integration, scalability for smaller enterprises, and user interface customization. Datadog may benefit from streamlining deployment processes, improving dashboard customization options, and enhancing AI-driven insights.

Ease of Deployment and Customer Service: Catchpoint offers detailed setup guidance and strong customer service tailored for network applications. Datadog's numerous integrations can require more setup time, but its cohesive experience and responsive support, along with comprehensive resources, offer high customer satisfaction.

Pricing and ROI: Catchpoint has a steeper pricing model focused on specialized services, potentially leading to higher initial setup costs. Datadog typically offers more value with scalable plans and feature-rich offerings that drive favorable ROI for companies seeking broad application monitoring and observability.

To learn more, read our detailed Catchpoint vs. Datadog Report (Updated: January 2026).

Buyer's Guide

Catchpoint vs. Datadog

January 2026

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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

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

210

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
Product	Market Share (%)
Datadog	6.7%
Catchpoint	0.9%
Other	92.4%

Cloud Monitoring Software

Featured Reviews

AnmolRai

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.

Read full review

Dhroov Patel

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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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 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."

"Catchpoint provides a great amount of information."

"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."

"Catchpoint's customer service and support are valuable."

"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."

"The solution offers three different ways of slicing data to look for abnormalities."

More Catchpoint pros

"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."

"The performance of Datadog is good."

"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."

"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."

"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."

"The dashboards and the performance of the software have been great."

"The feature I've found most valuable is the log search feature."

"The intuitive user interface has been one of the most valuable features for us."

More Datadog pros

Cons

"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."

"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."

"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."

"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."

"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."

"Catchpoint can be improved by focusing solely on network 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."

More Catchpoint cons

"This service could be less costly."

"The FinOps needs improvement."

"I like the idea of monitoring on the go yet it seems the options are still a bit limited out of the box."

"The monitors need improvement."

"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."

"It does not have the best interface."

"I would like testing for data in the future."

"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."

More Datadog cons

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 is comparable to the last tool we were using."

"In terms of licensing fees, I believe they were slightly higher."

"The solution's pricing varies based on services and licensing models."

"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."

"Licensing is based on the retention period of logs and metrics."

"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."

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."

"This solution is budget friendly."

"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."

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."

"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 pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Retailer

12%

Real Estate/Law Firm

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	98

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.

See all answers

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%.

See all answers

What needs improvement with Catchpoint?

See all answers

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...

See all answers

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...

See all answers

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 ...

See all answers

Comparisons

Dynatrace vs Catchpoint

Compared 16% of the time

ThousandEyes vs Catchpoint

Compared 11% of the time

New Relic vs Catchpoint

Compared 7% of the time

Splunk Observability Cloud vs Catchpoint

Compared 6% of the time

IBM SevOne Network Performance Management (NPM) vs Catchpoint

Compared 5% of the time

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Dynatrace vs Datadog

Compared 9% of the time

Azure Monitor vs Datadog

Compared 5% of the time

New Relic vs Datadog

Compared 4% of the time

Splunk Enterprise Security vs Datadog

Compared 3% of the time

Splunk AppDynamics vs Datadog

Compared 3% of the time

More Datadog Competitors

Product Reports

Buyer's Guide

Catchpoint

January 2026

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Buyer's Guide

Datadog

January 2026

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Overview

Catchpoint is the Internet Resilience Company™. The top online retailers, Global2000, CDNs, cloud service providers, and xSPs in the world rely on Catchpoint to increase their resilience by catching any issues in the Internet Stack before they impact their business. Catchpoint’s Internet Performance Monitoring (IPM) suite offers synthetics, RUM, performance optimization, high fidelity data and flexible visualizations with advanced analytics. It leverages thousands of global vantage points (including inside wireless networks, BGP, backbone, last mile, endpoint, enterprise, ISPs, and more) to provide unparalleled observability into anything that impacts your customers, workforce, networks, website performance, applications, and APIs.

Learn more at: https://www.catchpoint.com/

Catchpoint

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

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

Buyer's Guide

Catchpoint vs. Datadog

January 2026

Free Report: Catchpoint vs. Datadog

Find out what your peers are saying about Catchpoint vs. Datadog and other solutions. Updated: January 2026.

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