CrowdStrike Observability vs Datadog comparison

CrowdStrike Observability

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Executive SummaryUpdated on Jan 25, 2026

Datadog and CrowdStrike Observability are prominent competitors in the monitoring and observability tools category. Based on the comparison, Datadog has an upper hand in integration robustness and ease of use, while CrowdStrike excels in predictive analytics and data centralization.

Features: Datadog's most valuable features include a wide range of integrations, anomaly detection, and API functionalities. Its running in a hosted environment relieves users from infrastructure maintenance, offering seamless integration with cloud services like AWS. CrowdStrike Observability is notable for its predictive analytics, extensive data centralization capabilities, and detailed attack surface visibility, which provide deep insights into potential security threats.

Room for Improvement: Datadog users find the interface and alert functionality could be improved along with cost management tools and logging performance. Simplification of integrations is also desired. CrowdStrike Observability requires improvement in customer issue handling as response times need enhancement, and there is a noted complexity in module integration and cross-product data correlation.

Ease of Deployment and Customer Service: Datadog is praised for its user-friendly interface and deployment across hybrid, public, and private clouds. Its support team is knowledgeable, although response times can vary. CrowdStrike Observability, while flexible in deployment, could improve technical support responsiveness to match the streamlined experience offered by Datadog.

Pricing and ROI: Datadog is known for its competitive pay-as-you-use pricing model, although it can become costly with increased log volumes and integrations. Nonetheless, it provides significant time and resource savings. CrowdStrike Observability's steep pricing is similar to premium tools, potentially being cost-prohibitive for smaller enterprises. However, its security offerings justify the expense for larger organizations requiring comprehensive protection.

To learn more, read our detailed CrowdStrike Observability vs. Datadog Report (Updated: December 2025).

CrowdStrike Observability vs. Datadog

December 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:

Categories and Ranking

CrowdStrike Observability

Ranking in Log Management

21st

Average Rating

8.2

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Log Management

3rd

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

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

Mindshare comparison

As of February 2026, in the Log Management category, the mindshare of CrowdStrike Observability is 0.7%, up from 0.5% compared to the previous year. The mindshare of Datadog is 4.5%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Datadog	4.5%
CrowdStrike Observability	0.7%
Other	94.8%

Log Management

Featured Reviews

HectorRios

IT COMMUNICATIONS AND NETWORKS at Américas BPS

Has provided reliable alerts and helped identify infrastructure issues through detailed reporting

The best features of CrowdStrike Observability include the way they show issues to the client or agent, and their data collection method is interesting because they use an agent-less approach in some cases, collecting data from infrastructure such as firewalls. Additionally, they have the agent, but the presentation in the management console is excellent as we have observability end-to-end with the servers and all the services configured in the use cases. The intelligent alerting feature is excellent and configured on our console, being highly effective as it detects real alerts and just warnings or real issues. Identifying performance bottlenecks is important because they collect numerous MD5 or hash keys including movements or playbooks. The way they organize that in the console is excellent, allowing you to have reports detecting issues, which not only includes detection but also provides solutions to those issues.

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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

"In the logs and the trajectory, it shows detailed information about where the source of infection comes from, how it travels, and how to reach there."

"The log aggregation and correlation of data are notable features that enhance our operations."

"CrowdStrike Observability is a signature-less solution where you don't need to update your endpoints or the CrowdStrike Observability agents regularly, and it is completely based on AI and ML search engines."

"The intelligence database provided by CrowdStrike is very impressive."

"CrowdStrike Observability offers strong predictive analytics capabilities, and the intelligent alerting system helps minimize noise and optimize IT resources effectively."

"I find the most effective feature of CrowdStrike Observability to be its cloud vision and attack surface vision, which enhance network traffic analysis."

"The intelligence database provided by CrowdStrike is very impressive."

"The price is worth it."

More CrowdStrike Observability pros

"The most valuable aspect is the APM which can monitor the metrics and latencies."

"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."

"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."

"Going from viewing a metric to creating a monitor alerting on a metric is very easy."

"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."

"Datadog has proven to be easy to set up and legible for both development and operational teams."

"With Datadog, we managed to get everyone on board into a single place and a single tool, providing teams with one spot where they can check everything related to monitoring, and enabling management and leadership to have an overview of all tools working together."

"We have been impressed with the uptime and clean and light resource usage of the agents."

More Datadog pros

Cons

"For reporting or log management, having a longer duration for backup without needing to purchase a paid subscription would be beneficial. Currently, there is a default ninety-day backup period."

"We had some difficulties at the beginning, but at this moment they are improving, so probably in some months I will give them a ten."

"Integration with Huawei should be more straightforward."

"The pricing is very high and small companies cannot afford it. They should reduce the price because the backend infrastructure is the same."

"Integration with Huawei should be more straightforward."

"Technical support received a rating of 4 out of 10."

"We had some difficulties at the beginning, but at this moment they are improving, so probably in some months I will give them a ten."

"The customer service is not satisfactory for me. The support is only available in English, and my users in LATAM regions such as Peru and Colombia require local language support, which is not currently provided."

More CrowdStrike Observability cons

"Datadog probably didn't save me a ton of time because there are so many replay videos that I had to sort through in order to find the particular sales reps that I'm looking for for our beta test group."

"Datadog could be improved with a simpler graphical user interface that can be extended to non-technical users, such as a CXO, if they want to review the dashboard overall for current tickets and the ticketing dashboard."

"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."

"We need more visibility into the error tracking dashboard."

"The pricing model can be quite complex and might benefit from more flexible options tailored to different organizational needs."

"There should be a clearer view of the expenses."

"The solution should provide alerts for cloud outages."

"In some cases the screenshots don't match the text as updates are made."

More Datadog cons

Pricing and Cost Advice

Information not available

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

"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."

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."

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

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

"It has a module-based pricing model."

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

"The price is better than some competing products."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

11%

Comms Service Provider

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	99

Questions from the Community

What needs improvement with CrowdStrike Observability?

The product at this moment is really good; CrowdStrike Observability is still working to improve it and they are including new features. At this time, I cannot provide an opinion about what else to...

What is your primary use case for CrowdStrike Observability?

We are currently finishing the configuration of the solution, making the playbooks and configurations with the use cases. From CrowdStrike Observability, we use all the solution including XDR and a...

What advice do you have for others considering CrowdStrike Observability?

We did not use Falcon Sandbox or Falcon Exposure Management. We are using a local partner and they have a marketplace, but we are working with a local partner from Google. We are just customers, no...

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 ...

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Product Reports

CrowdStrike Observability

February 2026

Download CrowdStrike Observability product report

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February 2026

Overview

Unify security, log management, and observability with the new CrowdStrike Falcon LogScale module, the next evolution of Humio, including the all-new managed Falcon Complete LogScale service.

CrowdStrike

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

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