CrowdStrike Observability vs Datadog comparison

CrowdStrike Observability

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97% willing to recommend

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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: June 2026).

CrowdStrike Observability 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

CrowdStrike Observability

Ranking in Log Management

22nd

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

6.9

Number of Reviews

211

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 June 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 5.9% 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

"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 intelligence database provided by CrowdStrike is very impressive."

"The dashboard and user interface of CrowdStrike Observability are quite good, and the support is responsive."

"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."

"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."

"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."

More CrowdStrike Observability pros

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

"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."

"Enabling customers to manage their content in a fast, reliable, and highly user-friendly setup has been critical to our success."

"Customer Service: Never seen better."

"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."

"Using Datadog metrics has helped the organization a lot in many manners."

"Check out Datadog. It is awesome."

"By combining multiple capabilities or features together, there is full visibility across the technology stacks and we can identify specific bottlenecks or areas where risks and vulnerabilities are likely to exist."

More Datadog pros

Cons

"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."

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

"From the different deployments I have worked with, the shortcomings of CrowdStrike Observability are often because of what clients are able to share with CrowdStrike."

"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."

"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."

"We want to reduce having to go to different screens to obtain all the information."

"At times, it can be hard to generate metrics out of logs."

"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."

"The solution needs to integrate AI tools."

"The real issue with this product is cost control."

"We'd like to see more advanced incident management capabilities integrated directly into the platform."

"We would really like to see more from the Service Catalog."

"Some of the interface is still confusing to use."

More Datadog cons

Pricing and Cost Advice

Information not available

"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."

"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."

"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."

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

"The tool is open-source."

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

"They prefer monthly subscriptions."

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

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

12%

Construction Company

11%

Manufacturing Company

Financial Services Firm

15%

Manufacturing Company

Computer Software Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	82
Midsize Enterprise	49
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

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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

CrowdStrike Observability vs. Datadog