CrowdStrike Observability vs Datadog comparison

CrowdStrike Observability

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Executive SummaryUpdated on Oct 19, 2025

Datadog and CrowdStrike Observability compete in the software monitoring and observability category. Datadog may have the upper hand with its feature-rich integrations and user-friendly dashboards, though CrowdStrike's predictive analytics and intelligent alerting also provide significant value.

Features: Datadog is known for its hosted infrastructure, customizable dashboards, and seamless integrations, enhancing user-friendliness for complex requirements. The extensibility and comprehensive metrics tracking make it suitable for diverse environments. CrowdStrike focuses on predictive analytics, intelligent alerting, and infrastructure insight, providing robust security and optimization capabilities.

Room for Improvement: Datadog users find the pricing model complex and costly, especially at scale. Improving cost transparency and documentation could enhance user experience. Some users report inconsistencies in the newer features. CrowdStrike could improve by speeding up customer issue resolution and expanding integration across security solutions.

Ease of Deployment and Customer Service: Datadog offers deployment flexibility across cloud environments, but its customer service, though generally good, can sometimes lack responsiveness. CrowdStrike excels with proactive deployment and customer support, known for quick resolutions and effective integration handling.

Pricing and ROI: Datadog's complex pricing, often escalating with log and APM usage, can result in high costs but offers returns by centralizing operations and reducing downtime. While expensive, CrowdStrike is valued for its premium security features, with both products delivering high ROI by enhancing efficiency and resource management.

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

CrowdStrike Observability vs. Datadog

September 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

23rd

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

7.0

Number of Reviews

207

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)

Mindshare comparison

As of November 2025, in the Log Management category, the mindshare of CrowdStrike Observability is 0.5%, up from 0.5% compared to the previous year. The mindshare of Datadog is 5.4%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Datadog	5.4%
CrowdStrike Observability	0.5%
Other	94.1%

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

"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."

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

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

"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."

"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."

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

"The price is worth it."

More CrowdStrike Observability pros

"Dashboards are the most valuable."

"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."

"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."

"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."

"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."

"The setup cost was minimal."

"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."

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

More Datadog pros

Cons

"Integration with Huawei should be more straightforward."

"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."

"For reporting or log management, having a longer duration for backup without needing to purchase a paid subscription would be beneficial."

"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."

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

"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."

"Integration with Huawei should be more straightforward."

More CrowdStrike Observability cons

"The pricing nowadays is quite complex."

"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."

"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."

"The ability to find what you are looking for when starting out could be improved."

"While it’s powerful, the interface can feel cluttered and overwhelming for new users."

"The solution should provide alerts for cloud outages."

"It would be ideal if the product offered a bit more monitoring from our dashboard."

"I think better access to their engineers when we have a problem could be better."

More Datadog cons

Pricing and Cost Advice

Information not available

"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."

"The solution is fairly priced but history and log storage can get costly depending on your needs."

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

"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."

"Licensing is based on the retention period of logs and metrics."

"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."

"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

12%

Healthcare Company

Manufacturing Company

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	95

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

November 2025

Download CrowdStrike Observability product report

Download Datadog product report

November 2025

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