

Datadog and Prisma Cloud compete in the cloud services category, addressing monitoring and security needs, respectively. Datadog seems to have the upper hand due to its extensive monitoring features and ease of deployment, compared to Prisma Cloud's complex focus on security.
Features: Datadog offers seamless integration with AWS and other platforms, supports customizable dashboards, and provides robust data visualization. Prisma Cloud emphasizes security with continuous cloud compliance monitoring and identity-based micro-segmentation.
Room for Improvement: Datadog could improve its performance with large datasets and logging features. Users desire better documentation and cost control. Prisma Cloud could enhance its user interface and integration process, offering better auto-remediation and cross-cloud visibility.
Ease of Deployment and Customer Service: Datadog is known for its straightforward public and hybrid cloud deployment with excellent customer support. In contrast, Prisma Cloud's deployment is complex but offers prompt service, although it sometimes lacks depth.
Pricing and ROI: Datadog's pricing is considered high but justified by its monitoring capabilities. The pay-as-you-go model requires careful cost management. Prisma Cloud is expensive for larger deployments but aligns with robust security features, making it costly for 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.
It eliminates the need for additional hardware, making it a financially and technically sound investment.
Reputation and data security are the two most important things to a financial institution.
We may have prevented a security breach with remediation of the findings.
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.
They can respond with technical documentation or pass on the case to the next level because it requires the development of a new feature or changing a feature due to a bug.
Their technical support comes up with good solutions for every difficulty we face.
Their technical support comes up with great solutions.
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.
It's very scalable and very easy to use.
The scalability is also a 10 out of 10.
We are growing extremely quickly, and Prisma Cloud provides all the required services without any need for us to do anything to scale.
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.
I would rate it a ten out of ten for stability.
Prisma Cloud is a stable platform.
The solution is stable and is capable of covering large enterprises.
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.
From a developer's perspective, especially for organizations like banks developing their applications, ensuring API security before deploying them to the cloud is crucial.
Prisma Cloud is an excellent tool.
Even though documentation was available, it took a while for a new person to understand what integration meant, what will be achieved after the integration, or how the integration needed to be done on the Azure or AWS side.
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.
The cost was not on the higher side.
That's why a lot of our clients are shifting from cloud-native to Prisma Cloud: because of its effectiveness and because it is budget-friendly as well.
The solution is very expensive.
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.
What I like most about Prisma Cloud is its zero-day signatures, maximum security, minimal downtime, cloud visibility, control, and ease of deployment.
All five modules are taking a preventative approach to the security of the cloud environment, from the network to the cloud, posture management and workload protection.
We use it with multi-cloud environments, and there are five cloud providers supported, including Amazon Web Services, Oracle, GCP, Azure, and Alibaba.


| Product | Market Share (%) | 
|---|---|
| Prisma Cloud by Palo Alto Networks | 11.3% | 
| Datadog | 1.9% | 
| Other | 86.8% | 


| Company Size | Count | 
|---|---|
| Small Business | 80 | 
| Midsize Enterprise | 46 | 
| Large Enterprise | 95 | 
| Company Size | Count | 
|---|---|
| Small Business | 37 | 
| Midsize Enterprise | 20 | 
| Large Enterprise | 55 | 










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.
Prisma Cloud by Palo Alto Networks provides comprehensive cloud-native security solutions. It covers dynamic workload identity, automated forensics, and multi-cloud protection, ensuring robust security across diverse cloud platforms.
Prisma Cloud delivers advanced capabilities for managing cloud security across AWS, Azure, and GCP platforms. It offers dynamic workload identity creation, real-time monitoring, and seamless integration into CI/CD pipelines. With automation, centralized dashboards, and enhanced visibility, users effectively manage security misconfigurations and vulnerabilities. While optimizing cloud environments through runtime protection and compliance, Prisma Cloud faces challenges with its navigation, pricing, and limited automation capabilities. Users seek improvements in API security, role-based access controls, and documentation quality, emphasizing the need for enhanced customization and reporting features.
What are the important features of Prisma Cloud?
What benefits or ROI should users consider in reviews?
Industries like finance and telecom rely on Prisma Cloud for managing cloud security posture and container security. Teams utilize its capabilities across hybrid and multi-cloud settings to ensure compliance and robust threat protection. Features like misconfiguration detection and runtime monitoring are critical in promoting security objectives in these sectors.
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