Catchpoint vs Datadog vs Dynatrace comparison

Catchpoint and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Catchpoint is ranked #37 with an average rating of 8.0, while Datadog is ranked #1 with an average rating of 8.7. Catchpoint holds a 0.5% mindshare in APM, compared to Datadog’s 8.5% 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

1,557 Views
950 Comparison Views

100% willing to recommend

Datadog

Read 187 Datadog reviews

28,761 Views
18,982 Comparison Views

97% willing to recommend

Dynatrace

Read 348 Dynatrace reviews

32,460 Views
24,345 Comparison Views

95% willing to recommend

Catchpoint

Datadog

Dynatrace

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Executive Summary

We performed a comparison between Catchpoint, Datadog, and Dynatrace based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: July 2025).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

July 2025

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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:

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Catchpoint is 0.5%, up from 0.4% compared to the previous year. The mindshare of Datadog is 8.5%, down from 10.6% compared to the previous year. The mindshare of Dynatrace is 10.2%, down from 13.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

AnmolRai

Technical Consultant Project Lead at Capgemini

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

Kevin Palmer

DevOps/Security Principal at Raken

Useful log aggregation and management with helpful metrics aggregation

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

Read full review

Anand_Kumar

Enterprise Architect at DXC Technology

Provides a comprehensive view by integrating with other monitoring systems

There may be an issue since there are many tools like Splunk involved in network monitoring. From an IP perspective, Dynatrace is performing well. If they want to develop in network monitoring, they can, as it's part of their product line. It's not rocketry, so they can accomplish it. If I, as an SI, look at it from an enterprise perspective, considering the cost from the client, I prefer not to go with multiple systems, as they don't provide a complete 360-degree view. They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.

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 provides a great amount of information."

"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."

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

"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 product's most valuable feature is the ability to identify and troubleshoot network issues."

"During business hours, it has worked absolutely fine without any issues."

"One of the features, the scatter plot, is very useful. It shows red dots wherever there are issues."

"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."

More Catchpoint pros

"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."

"Datadog is constantly adding new features."

"It helps us better manage our logs."

"The logging in general is one of my favorite features."

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

"Datadog's learning platform is second to none."

"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."

"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."

More Datadog pros

"We have been capturing all the information and evaluating whether it can be improved or not."

"Working with the user interface is a pleasure for any customer since it is fast, responsive, and very well designed."

"The Davis artificial intelligence built-in program is valuable. It keeps all the information about the systems, connections, service calls, and requests in its database. It looks at response times and keeps everything in check with baseline figures. If anything goes outside of that baseline, it reports based on that. If the performance starts degrading, it reports on that. Before something breaks, it tells you that it is going to break, and that's the most useful feature of Dynatrace."

"It scales well. We are going to be able to use it for everything we need. "

"Of the entire stack, DC RUM and DT SaaS are definitely the most asked for in our offering catalog."

"Performance has improved substantially since we started using it."

"We can know exactly what happened in what time with PurePath."

"It has AI capabilities for anomaly detection. Also, they are a fully automated solution, so it's easy to use when it comes to deployment."

More Dynatrace pros

Cons

"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."

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

"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."

"As part of the improvement, there are certain categories, like for the China market, where we face issues."

"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."

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

More Catchpoint cons

"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."

"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."

"The product is quite complex, and there are so many features that I either didn't know about or wasn't sure how to use."

"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."

"They could enhance the alerting functions by creating a new feature to add direct SMS notifications, on-call rotation scheduling, etc., that could replace the need to have this as an external third-party solution integration."

"As a new customer, the Datadog user interface is a bit daunting."

"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."

"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."

More Datadog cons

"Cloud monitoring is insufficient. We would prefer Dynatrace to make more partnerships with major cloud applications like Salesforce, C4C, etc."

"The AppMon 6.5 is problematic in configuring. It is little finicky. When we configured the JVM, it did not work."

"Dynatrace could be improved by having a fully functional applications and infrastructure monitoring feature. Their existing stack, which is SNMP-based, does not have full infrastructure monitoring, whereas if we compare it with other solutions like New Relic or Datadog, they have moved into infrastructure monitoring. The second improvement I would suggest is in regards to the cost. So far, Dynatrace is the most expensive APM that we sell, even compared to New Relic. I think they can improve a little bit in terms of the license pricing."

"DevOps plugin monitoring tools need improvement."

"We need more AI in the product to avoid manual analysis."

"A useful addition for known issues would be the ability to automatically perform certain activities as a first attempt to resolve issues which are creating a problem."

"We have had some struggles with scaling. We were on AppMon, and AppMon has its own monolithic drawbacks."

"I would like better plugin support, because they are constantly asking us to do plugins, saying "Yeah, we can do that. Use this plugin." Then, the moment something goes wrong with that plugin, I have no way of getting help."

More Dynatrace cons

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 is comparable to the last tool we were using."

"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."

"The price is better than some competing products."

"It has a module-based pricing model."

"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."

"The cost is high and this can be justified if the scale of the environment is big."

"The tool is open-source."

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

"Pricing seemed easy until the bill came in and some things were not accounted for."

"This solution is budget friendly."

More Datadog pricing and cost advice

"If there are no corporate requirements to run Dynatrace Managed (operating it yourself), I would definitely go for the size option. For small and medium-sized companies, the size option is probably the cheapest one. You don't need to look into operating it. You don't need to run hardware. It is pay as you go."

"Consider volume because that is where you will get the most benefit. Doing a point solution is not cost-effective."

"We license it for two environments, typically all of production and all of one lower environment, usually our staging environment. If there is a downside to Dynatrace, the only thing I can think of would be the cost. If it were cheaper, I'd have it in all my environments. I don't think they're charging more than it's worth, by any means. It's just that good software costs money."

"Pricing is still too expensive."

"As compared to New Relic and other providers, it is more expensive, which is its biggest disadvantage. Its biggest advantage is its capability. It is more feature-rich."

"There is a license issue where if we increase the memory we have to up the licenses. I was unaware of that going in. I thought it was scalable without all the paperwork behind the scenes. "

"Financially Dynatrace was a lot more expensive than AppDynamics."

"The setup costs for Dynatrace are low, however licensing costs are high."

More Dynatrace pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Educational Organization

13%

Retailer

11%

Computer Software Company

10%

Computer Software Company

14%

Financial Services Firm

14%

Educational Organization

Manufacturing Company

Financial Services Firm

22%

Educational Organization

11%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 SL...

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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 a...

See all answers

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 cur...

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,...

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 time...

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 t...

See all answers

Any advice about APM solutions?

The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if yo...

See all answers

What cloud monitoring software did you choose and why?

While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire sta...

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APM tools for a Managed Service Provider - Dynatrace vs. AppDynamics vs. Aternity vs. Ruxit

Hi Avi! It's great to see your thorough approach to selecting an APM package for your MSP company. Considering your f...

See all answers

Comparisons

ThousandEyes vs Catchpoint

Compared 13% of the time

New Relic vs Catchpoint

Compared 12% of the time

Splunk AppDynamics vs Catchpoint

Compared 7% of the time

SolarWinds Pingdom vs Catchpoint

Compared 7% of the time

IBM Tivoli Composite Application Manager vs Catchpoint

Compared 6% of the time

More Catchpoint Competitors

Azure Monitor vs Datadog

Compared 10% of the time

AWS X-Ray vs Datadog

Compared 5% of the time

Splunk Enterprise Security vs Datadog

Compared 5% of the time

New Relic vs Datadog

Compared 4% of the time

Amazon OpenSearch Service vs Datadog

Compared 4% of the time

More Datadog Competitors

Splunk Enterprise Security vs Dynatrace

Compared 6% of the time

Azure Monitor vs Dynatrace

Compared 6% of the time

New Relic vs Dynatrace

Compared 5% of the time

Splunk AppDynamics vs Dynatrace

Compared 5% of the time

Elastic Observability vs Dynatrace

Compared 4% of the time

More Dynatrace Competitors

Product Reports

Buyer's Guide

Catchpoint

July 2025

Download Catchpoint product report

Buyer's Guide

Datadog

July 2025

Download Datadog product report

Buyer's Guide

Dynatrace

April 2025

Download Dynatrace product report

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 is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Datadog

Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.

Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:

Smartscape - visualization mechanism that maps the totality of everything working in your environment and detects any casual dependencies between your applications, processes, websites, services, hosts, cloud infrastructure, and networks.
OneAgent - a technology that analyzes, gathers ,and unifies all business performance metrics throughout every layer of your technology stack.
PurePath Technology - code-level context and timings are captured from the mainframe to the cloud for all end-to-end transactions.

What does Dynatrace offer?

Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:

Cloud Automation: With AI engine Davis®, users can see the exact reason for problems and facilitate quick auto-remediation and intelligent cloud orchestration.
Application Security: With automated application vulnerability management, users can deliver applications faster and more securely.
Infrastructure Monitoring: Convenient broad visibility across your environments is provided with streamlined, automated infrastructure monitoring.
Digital Experience Monitoring (DEM): Optimize your applications, provide better support, and improve user experience with a combination of Real User Monitoring (RUM), Session Replay, and synthetic monitoring throughout your environment.
Applications and Microservices: For complex cloud environments, Dynatrace can automatically provide visibility and root-cause answers. It can also monitor microservices.
Digital Business Analytics: Get AI-powered, real-time answers to analytical business queries with KPIs and metrics that are already flowing through applications.

Reviews from Real Users

Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.

Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."

A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."

Dynatrace

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

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express

Buyer's Guide

Application Performance Monitoring (APM) and Observability

July 2025

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