Cross-Enterprise Application Performance Management vs Datadog comparison

Why PeerSpot?

Broadcom and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Broadcom is ranked #82, while Datadog is ranked #1 with an average rating of 8.6. Broadcom holds a 0.4% mindshare in APM, compared to Datadog’s 4.2% mindshare. Additionally, 50% of Broadcom users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

Cross-Enterprise Applicatio...

Read 2 Cross-Enterprise Application Performance Management reviews

1,612 Views
1,580 Comparison Views

50% willing to recommend

Datadog

Read 211 Datadog reviews

46,933 Views
20,651 Comparison Views

97% willing to recommend

Cross-Enterprise Applicatio...

Datadog

Comparison Buyer's Guide

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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: September 2026).

Buyer's Guide

Cross-Enterprise Application Performance Management vs. Datadog

September 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

Cross-Enterprise Applicatio...

Ranking in Application Performance Monitoring (APM) and Observability

82nd

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 (2nd), IT Infrastructure Monitoring (1st), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cross-Enterprise Application Performance Management is 0.4%, up from 0.2% compared to the previous year. The mindshare of Datadog is 4.2%, down from 7.4% 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	4.2%
Cross-Enterprise Application Performance Management	0.4%
Other	95.4%

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.

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

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

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

"The platform appeals to companies spanning many industries on a global scale."

"The agents feature in Datadog stands out as a valuable asset within our organization due to its robust functionality, versatility, and role in providing comprehensive monitoring and observability capabilities."

"Datadog has positively impacted our organization because our customers are very happy using it."

"Datadog infrastructure monitoring has helped us identify health issues with our virtual machines, such as high load, CPU, and disk usage, as well as monitoring uptime and alerting when Kubernetes containers have a bad time staying up."

"Datadog has impacted our organization positively since we were previously using AppDynamics and then we switched to Datadog, which improved a lot in our alerting and monitoring in the infrastructure space and application space, allowing us to monitor business transactions and take proactive action before an end user reports it."

"The ease of graph building is nice, and MUCH easier than Prometheus."

"It has a nice UI."

"Datadog helps us detect issues early on and helps in troubleshooting."

More Datadog pros

Cons

"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."

"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."

"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."

"The error traceability is an area that can be improved."

"The documentation leaves a lot to be desired for new users."

"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."

"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."

"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."

"One thing to improve would be making it easier to see common patterns across traces."

"Datadog's roadmap can be a bit unpredictable at times."

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."

"The tool is open-source."

"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."

"Our licensing fees are paid on a monthly basis."

"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 didn't scale well from the cost perspective. We had a custom package deal."

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

"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."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Manufacturing Company

10%

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	81
Midsize Enterprise	50
Large Enterprise	100

Questions from the Community

Ask a question

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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...

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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...

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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 ...

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Comparisons

Zabbix vs Cross-Enterprise Application Performance Management

Compared 20% of the time

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Compared 17% of the time

AWS X-Ray vs Cross-Enterprise Application Performance Management

Compared 6% of the time

Splunk Observability Cloud vs Cross-Enterprise Application Performance Management

Compared 5% of the time

Splunk AppDynamics vs Cross-Enterprise Application Performance Management

Compared 4% of the time

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Dynatrace vs Datadog

Compared 3% of the time

New Relic vs Datadog

Compared 3% of the time

Splunk AppDynamics vs Datadog

Compared 2% of the time

Splunk Enterprise Security vs Datadog

Compared 2% of the time

Avantra vs Datadog

Compared 2% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

September 2026

Cross-Enterprise Application Performance Management report

Download Cross-Enterprise Application Performance Management product report

Buyer's Guide

Datadog

October 2026

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.

Datadog

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

Buyer's Guide

Cross-Enterprise Application Performance Management vs. Datadog

September 2026

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