Cross-Enterprise Application Performance Management vs Datadog comparison

Cross-Enterprise Applicatio...

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Executive SummaryUpdated on Jan 25, 2026

Datadog and Cross-Enterprise Application Performance Management compete in the performance monitoring and observability tools category. Datadog seems to have the upper hand with integration ease and analytics flexibility, while Cross-Enterprise Application Performance Management offers a robust feature set tailored for complex IT environments.

Features: Datadog provides comprehensive monitoring across diverse systems, featuring powerful dashboards and an extensive set of integrations. It supports various cloud environments and offers real-time visibility into infrastructure metrics and logs. Cross-Enterprise Application Performance Management stands out with deep-dive performance analytics and customization options designed for large enterprise architectures, offering targeted insights and specialized monitoring for enterprise applications.

Ease of Deployment and Customer Service: Datadog is recognized for its straightforward, cloud-native deployment, allowing rapid and scalable integrations with minimal configuration. It offers customer-centric support to facilitate smoother implementation. Cross-Enterprise Application Performance Management requires more intricate setup processes but provides tailored deployment options and specialized support, effectively catering to complex enterprise requirements.

Pricing and ROI: Datadog is known for its competitive pricing models and offers quick ROI, making it suitable for businesses prioritizing fast and efficient observability solutions. Specific pricing information can vary based on the plan and usage. Cross-Enterprise Application Performance Management may involve higher upfront costs; however, its enterprise-focused capabilities often justify the investment through enhanced performance insights and operational efficiency, delivering significant ROI for larger organizations.

To learn more, read our detailed Cross-Enterprise Application Performance Management vs. Datadog Report (Updated: June 2026).

Cross-Enterprise Application Performance Management vs. Datadog

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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

Cross-Enterprise Applicatio...

Ranking in Application Performance Monitoring (APM) and Observability

85th

Average Rating

6.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Application Performance Monitoring (APM) and Observability

1st

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cross-Enterprise Application Performance Management is 0.4%, up from 0.0% compared to the previous year. The mindshare of Datadog is 4.6%, down from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Datadog	4.6%
Cross-Enterprise Application Performance Management	0.4%
Other	95.0%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mohammed Shahpoup

Senior Deputy Manager, ITSM Architect at ICT Misr

Offers a great reporting experience, with much customization and flexibility in extracting reports but it can be more user-friendly

My experience indicates that it needs enhancements in the UI. We are in 2024, and the GUI doesn't meet current expectations for user interfaces or Excel integration. Mainly, CA Service Desk has such a bad user interface. All features and systems, like servers, should have a modern graphical user interface, but CA Service Desk remains classic and still uses a desktop-based interface. It doesn't add features easily; if you need additional functionality, you have to go through many steps. Competitors like ServiceNow, Micro Focus SMAX, and ManageEngine all have better user interfaces. This is the main solution that needs improvement. I am very satisfied with the modeling systems, the grid, and the existing features, except for the graphical user interface.

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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.

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Quotes from Members

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

Pros

"All solutions from Broadcom are very easy to install."

"The documentation and the technical support are both quite good."

"Our ROI with Datadog has been very high."

"Datadog solves all of these issues."

"Monitoring has been invaluable, and as we start to look to other products, bringing in logs and APM traces will create a full picture of what we need to do to resolve incidents."

"In terms of the public cloud provider integration of AWS, I would say it's very easy and straightforward to integrate."

"Datadog provides a lot of value in terms of adding monitoring and observability to our app."

"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."

"Using Datadog metrics has helped the organization a lot in many manners."

"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."

More Datadog pros

Cons

"There is still a lot of improvement that is needed in terms of stability. We figured out that it was not able to monitor or offer some forms of self-service capabilities."

"The UI could be better. When I look at the dashboard, for example, the information looks cluttered and unorganized."

"They lack support and presence in Egypt."

"The application performance monitoring module had very few functionalities that we needed for the application health check."

"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."

"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."

"If I could change one thing about Datadog, it would be the pricing, as it has extraordinary functionality, but the pricing is somewhat expensive, and as we increase the number of servers and monitoring services, the cost increases."

"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."

"In production, we intend to use trace IDs generated by RUM to attach to support tickets when a user experiences a traceable network error, and we want to display this trace ID to the user so if they were to contact us about a specific issue, they can provide us an exact ID displayed to them back to us. Currently, this is not possible out-of-the-box client-side without inventing our own solution for capturing these trace IDs, such as shimming the native fetch or returning the ID from the service response."

"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."

"We did have an issue where a synthetic test was set up before the holiday break, and we were quickly charged a great amount. Our team worked with Datadog, and they were able to help us out since it was inadvertent on our end and was a user error."

More Datadog cons

Pricing and Cost Advice

"I would rate the pricing a three out of ten, with ten being expensive. So, it is rather cheap."

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

"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 is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."

"The solution's pricing depends on project volume."

"While it is an expensive product, I would rate the pricing level at four out of five."

"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 has a module-based pricing model."

More Datadog pricing and cost advice

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Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Manufacturing Company

Computer Software Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	82
Midsize Enterprise	49
Large Enterprise	100

Questions from the Community

What is your experience regarding pricing and costs for Cross-Enterprise Application Performance Management?

I would rate the pricing a three out of ten, with ten being expensive. So, it is rather cheap. On a yearly basis, we pay $400,000. It is fixed, but it differs from year to year because we can add m...

What needs improvement with Cross-Enterprise Application Performance Management?

What is your primary use case for Cross-Enterprise Application Performance Management?

At our bank, we have two teams: * one for Network Operations Center (NOC) and * another for administration and innovation. I am the technical lead in administration. For daily basis, the NOC team u...

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 ...

Zabbix vs Cross-Enterprise Application Performance Management

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Product Reports

Application Performance Monitoring (APM) and Observability

Download Cross-Enterprise Application Performance Management product report

Cross-Enterprise Application Performance Management report

Download Datadog product report

Also Known As

CA Cross-Enterprise Application Performance Management

No data available

Overview

Cross-Enterprise Application Performance Management provides comprehensive insight into application performance across organizational boundaries. Designed to address complex application ecosystems, it ensures efficient monitoring and management of performance metrics, enhancing IT operations.

With Cross-Enterprise Application Performance Management, organizations can leverage a centralized approach to detecting, diagnosing, and resolving performance issues. The platform's analytics allow for proactive management by identifying trends and anomalies across applications. By offering end-to-end visibility into transactions and resource utilizations, it supports significant improvements in operational efficiency.

What are the key features?

End-to-End Monitoring: Comprehensive monitoring across all components of the application landscape.
Centralized Dashboard: Aggregated data view for quick insights and decision-making.
Real-Time Analytics: Immediate data processing to detect and respond to issues quickly.
Anomaly Detection: Advanced algorithms identify deviations for proactive troubleshooting.
Resource Management: Optimize application resources through detailed usage analysis.

What benefits and ROI should be considered?

Improved Performance: By leveraging analytics, boost application efficiency and uptime.
Cost Efficiency: Reduced downtimes translate to lower operational costs.
Enhanced Decision Making: Access to reliable data leads to informed strategic decisions.
Increased Productivity: Swift issue resolution improves overall productivity.

In industries like finance and healthcare, Cross-Enterprise Application Performance Management integrates seamlessly to handle complex transactional systems. Its ability to provide real-time visibility and comprehensive analytics means that these sectors can ensure compliance and maintain high service standards.

Broadcom

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.

Sample Customers

NIIT Technologies, Cetip Safeguards

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

Cross-Enterprise Application Performance Management vs. Datadog