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: August 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

86th

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) (6th), AI Observability (1st)

Mindshare comparison

As of August 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 4.4%, down from 9.0% 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	4.4%
Cross-Enterprise Application Performance Management	0.4%
Other	95.2%

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

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

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

"From the number of outages stopped or shortened (which lead to lost revenue from non-renewals) and the number of hours saved on investigations (which correlates to engineering salaries), I estimate that the ROI of the implementation time and monthly charges to be between 10x and 20x."

"The most valuable aspect for us is to have everything in the same place."

"Datadog will positively impact my organization by allowing me to handle ticket resolutions at a much faster pace and bring productivity by reducing the number of support engineers required at the monitoring level."

"Overall, it has improved operational efficiency and reduced downtime by enabling quicker responses during incidents."

"The single pane of glass view with maneuvering between products has helped us to truly understand root causes after incidents."

"Datadog has improved our visibility into infrastructure topology and performance."

"The feature I have found to be the most valuable is the filtering feature in logs."

"However, Datadog has so far been a breeze to use and set up."

More Datadog pros

Cons

"They lack support and presence in Egypt."

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

"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."

"We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks."

"Alerting timing should be improved to be more fine-tuned and exact."

"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."

"Lacks some flexibility in the customization."

"In some ways, the tool has a pretty steep learning curve. Discovering the various capabilities available, then learning how to utilize them for particular use cases can be challenging."

"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."

"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."

"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."

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."

"If you do your homework, you'll find that if you're really concerned with cost, it's good."

"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."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"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."

"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."

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

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

"They prefer monthly subscriptions."

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

14%

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

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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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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 26% of the time

eG Enterprise vs Cross-Enterprise Application Performance Management

Compared 22% of the time

AWS X-Ray vs Cross-Enterprise Application Performance Management

Compared 9% of the time

Kloudfuse vs Cross-Enterprise Application Performance Management

Compared 6% of the time

Actional vs Cross-Enterprise Application Performance Management

Compared 5% of the time

More Cross-Enterprise Application Performance Management Competitors

Dynatrace vs Datadog

Compared 4% of the time

New Relic vs Datadog

Compared 3% of the time

Splunk AppDynamics vs Datadog

Compared 2% of the time

Avantra vs Datadog

Compared 2% of the time

Azure Monitor vs Datadog

Compared 2% of the time

More Datadog Competitors

Product Reports

Application Performance Monitoring (APM) and Observability

Download Cross-Enterprise Application Performance Management product report

Cross-Enterprise Application Performance Management report

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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