CrowdStrike Observability [EOL] vs Datadog comparison

Why PeerSpot?

CrowdStrike and Datadog are both solutions in the Log Management category. Additionally, 100% of CrowdStrike users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

CrowdStrike Observability [...

Read 8 CrowdStrike Observability [EOL] reviews

100% willing to recommend

Datadog

Read 211 Datadog reviews

48,911 Views
13,206 Comparison Views

97% willing to recommend

CrowdStrike Observability [...

Datadog

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Executive SummaryUpdated on Aug 26, 2026

Datadog and CrowdStrike Observability compete in the monitoring and observability space. Datadog appears to have the upper hand due to its stronger integration capabilities and flexibility, whereas CrowdStrike Observability is more focused on security insights and predictability enhancements.

Features: Datadog offers correlation capabilities and unified visibility, integrating metrics, logs, and service data into one platform with flexible dashboards enhancing cloud service integration. CrowdStrike Observability provides predictive analytics and intelligent alerting, combined with detailed system health insights and unique integrations that support security-focused data visibility.

Room for Improvement: Datadog requires better alert quality and cost visibility, facing issues with alert overload and cost tracking for data ingestion. CrowdStrike Observability needs improvement in customer issue resolution speed and smoother module integration, such as vulnerability and identity management.

Ease of Deployment and Customer Service: Datadog supports deployment across Public, Private, and Hybrid Clouds, providing responsive customer service but needs enhanced technical support for specialized issues. CrowdStrike Observability operates in Public, Private, Hybrid Clouds, and On-Premises, serving diverse organizational needs with generally helpful but slower support.

Pricing and ROI: Datadog's pricing complexity arises from data ingestion costs, necessitating careful cost management despite providing ROI through reduced incident time and efficiency. CrowdStrike Observability sees higher initial expenses compared to similar products but justifies costs with extensive protection and predictive capabilities, favored for security features.

To learn more, read our detailed Log Management Report (Updated: October 2026).

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Log Management

October 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 [...

Average Rating

8.0

Reviews Sentiment

4.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Application Performance Monitoring (APM) and Observability (3rd), Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)

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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

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

"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 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."

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

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

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

More CrowdStrike Observability [EOL] pros

"The solution has offered increased visibility via logging APM, metrics, RUM, etc. Going from almost nothing to something that didn’t take a lot of time to set up has been great since we have so little time to spare."

"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."

"Monitoring has been invaluable, and as we start to look to other products, bringing in logs and APM traces will create a full picture of what we need to do to resolve incidents."

"The APM has made observability and tracing more accessible to developers."

"When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog."

"The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."

"We have been able to be a more confident, knowledgeable, and capable team when everything is being ported into a centralized format."

"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."

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."

"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."

"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."

"The areas of CrowdStrike Observability that have room for improvement include the approach towards customer issues, where resolution takes time."

"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."

"The product can be improved by allowing the grouping of APIs to add variables. That way, any API with a unique ID could be grouped together."

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

"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."

"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."

"One of the improvement opportunities that we have identified in my project concerns how hard it is to manage an organizational structure when you have multiple things in one organization, and you want to provide some kind of isolation between them."

"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."

"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."

"There is always room for improvement when dealing with cloud-based technologies. Mainly, I would say, it's just increasing our offerings to attract various other types of industries and businesses across more fields."

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."

"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."

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

"This solution is budget friendly."

"They prefer monthly subscriptions."

"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."

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

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Construction Company

12%

Financial Services Firm

12%

Comms Service Provider

Financial Services Firm

13%

Manufacturing Company

10%

Outsourcing Company

Comms Service Provider

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	81
Midsize Enterprise	50
Large Enterprise	100

Questions from the Community

What needs improvement with CrowdStrike Observability?

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. If there are limitations in wh...

See all answers

What is your primary use case for CrowdStrike Observability?

We are currently using a complete suite of anti-malware software and other security products in our company. I have worked with both the on-premises version and the cloud version, but I am more fam...

See all answers

What advice do you have for others considering CrowdStrike Observability?

I am probably familiar with CrowdStrike Observability. I first heard of CrowdStrike Observability a couple of years ago, and I only really started looking into it about a year ago. I cannot comment...

See all answers

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...

See all answers

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...

See all answers

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 ...

See all answers

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Product Reports

Buyer's Guide

CrowdStrike Observability [EOL]

October 2026

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Buyer's Guide

Datadog

October 2026

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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.

Datadog

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

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