

Datadog and Prevasio are prominent players in the monitoring and security solutions market. Datadog is favored for its broad integrations and user-friendly monitoring capabilities, creating an efficient system for managing metrics and alerts. Prevasio, however, gains recognition for its strong cloud-native security focus and effective vulnerability management.
Features: Datadog provides numerous valuable integrations and simplifies the creation of alerts. It offers great visualization tools and a user-friendly interface that appeals to non-developers and those new to technical setups. Prevasio's primary strength lies in its focus on cloud security, particularly effective for businesses investing heavily in cloud environments and requiring robust vulnerability management tools.
Room for Improvement: Datadog users have expressed concerns about its performance when handling long-term data, along with the higher costs of logging and metrics. Users feel that enhancing insights could further increase Datadog's value. Prevasio is noted for needing more extensive integrations with existing IT environments to streamline operations, which would greatly benefit users.
Ease of Deployment and Customer Service: Datadog's setup process is quick and efficient, especially in hybrid cloud environments. User feedback on customer service highlights some support speed inconsistencies. Prevasio is praised for its proactive customer service and straightforward setup process, although feature requests may encounter delays in implementation.
Pricing and ROI: Datadog is noted for its higher cost, particularly as usage scales, requiring careful planning to avoid budget overruns. Its extensive features usually offer good ROI, though cost predictability can be an issue. Conversely, Prevasio offers more stable pricing, seen as budget-friendly and suitable for cost-conscious businesses seeking security solutions.
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.
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.
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.
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.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
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.
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.
| Product | Market Share (%) |
|---|---|
| Datadog | 25.2% |
| Prevasio | 0.4% |
| Other | 74.4% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 6 |
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.
Prevasio is an agentless cloud-native application protection platform (CNAPP) that provides increased visibility into security and compliance gaps, enabling cloud operations and security teams to prioritize risks and ensure compliance with internet security benchmarks.
Prevasio combines cloud-native security with SRI International's proprietary AI capabilities and AlgoSec’s expertise in securing 1,800 of the world’s most complex organizations.
We monitor all Container Monitoring 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.