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: April 2026).

CrowdStrike Observability vs. Datadog

April 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

CrowdStrike Observability

Ranking in Log Management

21st

Average Rating

8.0

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Log Management

4th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

210

Ranking in other categories

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

Mindshare comparison

As of May 2026, in the Log Management category, the mindshare of CrowdStrike Observability is 0.9%, up from 0.5% compared to the previous year. The mindshare of Datadog is 4.0%, down from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Datadog	4.0%
CrowdStrike Observability	0.9%
Other	95.1%

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

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

"The price is worth it."

"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."

"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."

"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."

"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."

More CrowdStrike Observability pros

"Datadog has positively impacted my organization by helping us make our web portals more efficient, and as we get the agent installed on more devices, it's really provided us visibility that we haven't had in my entire career with Ace Hardware."

"Customer Service: Never seen better."

"Datadog has clear dashboards and good documentation."

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

"The most valuable features are the dashboards and the reporting."

"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."

"Log analytics give us a powerful mechanism for error tracking, research, and analysis."

"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."

More Datadog pros

Cons

"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."

"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."

"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. Currently, there is a default ninety-day backup period."

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

More CrowdStrike Observability cons

"The setup was a bit complex."

"One major drawback of Datadog is the cost. Sometimes we set up flows in place to monitor resources that end up logging more than we thought, and the bill is too high."

"I love to have some DD guru come in and do a department training directly at our setup."

"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."

"In terms of UI, everything is very small, which makes it quite difficult to navigate at times."

"The logging could be improved in the future."

"Presently, the billing CSV reports provide insights into billing-related information yet are somewhat limited in functionality, typically offering reports with only three columns."

"The wide range of products Datadog now offers can be a bit intimidating to developers."

More Datadog cons

Pricing and Cost Advice

Information not available

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

"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."

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."

"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."

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

"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."

"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."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

12%

Construction Company

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

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	82
Midsize Enterprise	47
Large Enterprise	100

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

May 2026

Download CrowdStrike Observability product report

Download Datadog product report

May 2026

Overview

CrowdStrike Observability provides comprehensive endpoint security and threat protection through an intuitive platform, leveraging advanced analytics and centralized data management to minimize system impact and enhance detection capabilities.

With features like log aggregation, data correlation, and an extensive intelligence database, CrowdStrike Observability effectively tracks hardware, software inventory, and threats using an agent-less data collection approach. Its cloud vision and attack surface vision improve network traffic analysis, while predictive analytics and intelligent alerting reduce unnecessary noise. Despite its strengths, integration with Huawei remains a challenge, and users indicate the need for improved customer service and seamless integration with other security products. Modules complexity can hinder understanding, and there is demand for longer backup durations without additional costs. Users often request the inclusion of XDR features at no additional charge, while CrowdStrike continues to enhance reporting, log management, and feature additions. Common applications include endpoint security, AI-based EDR and XDR solutions, and fraud protection with a focus on detection and prevention in cloud environments.

What are the key features of CrowdStrike Observability?

Log Aggregation: Collects and centralizes log data for enhanced analysis.
Data Correlation: Links data points to identify patterns and threats.
Intelligence Database: Provides extensive threat intelligence for proactive security.
Minimal System Impact: Ensures efficient performance with low resource usage.
Predictive Analytics and Alerting: Minimizes false alerts and enhances decision-making.

What benefits or ROI should users expect?

Enhanced Threat Detection: Leverages powerful analytics to identify threats proactively.
Cost-effective Cloud Storage: Centralizes data, though cloud storage is an additional cost.
Improved IT Resource Optimization: Identifies performance bottlenecks for better resource management.

In finance and cybersecurity industries, CrowdStrike Observability plays a crucial role, offering endpoint security and log management solutions. Financial organizations employ it for fraud protection and maintaining security in both local and cloud infrastructures, relying on its AI-based EDR and XDR capabilities for comprehensive coverage. Integration with Google Cloud is prevalent, facilitating enhanced threat detection and prevention strategies.

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