

Datadog and Microsoft Defender for Cloud are competitors in the monitoring and security solutions space. Datadog has a slight edge due to its extensive real-time support and ease of deployment.
Features: Datadog excels with its sharable dashboards, TimeBoards, and numerous integrations with Amazon services like ECS and RDS, providing a comprehensive monitoring solution. Its hosted nature eliminates the need for user-managed infrastructure, making it ideal for handling large data volumes. Microsoft Defender for Cloud stands out for comprehensive threat detection and its strong integration with Microsoft products, offering significant protection for multi-cloud environments.
Room for Improvement: Datadog users find dashboard customization, querying, and API consistency need refinement, alongside better cost transparency. Microsoft Defender could enhance integration with non-Microsoft cloud services, improve interfaces, and reduce false positive alerts to better match client environments.
Ease of Deployment and Customer Service: Datadog impresses with its extensive documentation and helpful real-time support, despite minor inconsistencies. Microsoft Defender offers a straightforward setup with its strong integration within the Microsoft ecosystem but falls short due to frequent product updates and licensing complexity.
Pricing and ROI: Datadog's pricing structure offers scalability but can lead to unexpected cost spikes, often seen as reasonable with improved infrastructure reliability. Microsoft Defender for Cloud is seen as valuable when bundled with other Microsoft services but exhibits complex pricing models that challenge smaller organizations.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
Defender proactively indexes and analyzes documents, identifying potential threats even when inactive, enhancing preventative security.
Identifying potential vulnerabilities has helped us avoid costly data losses.
The biggest return on investment is the rapid improvement of security posture.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Since security is critical, we prefer a quicker response time.
The support team was very responsive to queries.
They understand their product, but much like us, they struggle with the finer details, especially with new features.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
We are using infrastructure as a code, so we do not have any scalability issues with Microsoft Defender for Cloud implementation because our cloud automatically does it.
It has multiple licenses and features, covering infrastructures from a hundred to five hundred virtual machines, without any issues.
Defender won't replace our endpoint XDR, but it will likely adapt and support any growth in the Microsoft Cloud space.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
Defender's stability has been flawless for us.
Microsoft Defender for Cloud is very stable.
Microsoft sometimes changes settings or configurations without transparency.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
Microsoft, in general, could significantly improve its communication and support.
It would be beneficial to streamline recommendations to avoid unnecessary alerts and to refine the severity of alerts based on specific environments or environmental attributes.
The artificial intelligence features could be expanded to allow the system to autonomously manage security issues without needing intervention from admins.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
Every time we consider expanding usage, we carefully evaluate the necessity due to cost concerns.
We appreciate the licensing approach based on employee count rather than a big enterprise license.
Microsoft Defender for Cloud is pricey, especially for Kubernetes clusters.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
The most valuable feature for me is the variety of APIs available.
This feature significantly aids in threat detection and enhances the user experience by streamlining security management.
The most valuable feature is the recommendations provided on how to improve security.


| Product | Market Share (%) | 
|---|---|
| Microsoft Defender for Cloud | 9.3% | 
| Datadog | 1.9% | 
| Other | 88.8% | 


| Company Size | Count | 
|---|---|
| Small Business | 80 | 
| Midsize Enterprise | 46 | 
| Large Enterprise | 95 | 
| Company Size | Count | 
|---|---|
| Small Business | 26 | 
| Midsize Enterprise | 7 | 
| Large Enterprise | 45 | 










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?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.
Microsoft Defender for Cloud is a comprehensive security solution that provides advanced threat protection for cloud workloads. It offers real-time visibility into the security posture of cloud environments, enabling organizations to quickly identify and respond to potential threats. With its advanced machine learning capabilities, Microsoft Defender for Cloud can detect and block sophisticated attacks, including zero-day exploits and fileless malware.
The solution also provides automated remediation capabilities, allowing security teams to quickly and easily respond to security incidents. With Microsoft Defender for Cloud, organizations can ensure the security and compliance of their cloud workloads, while reducing the burden on their security teams.
We monitor all Cloud Security Posture Management (CSPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.