

Datadog and Rapid7 InsightCloudSec compete in cloud monitoring and security solutions. While Datadog has the advantage in monitoring due to its competitive pricing and strong support, Rapid7 InsightCloudSec leads in comprehensive feature perception and value, making it appealing for security-focused businesses.
Features: Datadog offers detailed monitoring capabilities, real-time data analytics, and extensive platform integration. Rapid7 InsightCloudSec emphasizes cloud security, automation, and compliance monitoring, focusing on security to cater to security-conscious businesses.
Room for Improvement: Datadog could enhance its cloud security features and automation capabilities. Additionally, its cloud storage costs can be adjusted. Rapid7 InsightCloudSec can improve ease of use for non-security-focused clients, enhance non-security feature depth, and refine integration ease with third-party platforms.
Ease of Deployment and Customer Service: Datadog provides straightforward deployment with strong integration support, praised for responsive customer service. Rapid7 InsightCloudSec offers efficient deployment focusing on security, with proactive support noted for its value, though Datadog's deployment remains more seamless due to its focus on monitoring.
Pricing and ROI: Datadog is often preferred for its competitive and predictable pricing models, offering better ROI for monitoring-focused deployments. Rapid7 InsightCloudSec's pricing is higher, reflecting comprehensive security features, but users find this justified for robust security capabilities and value perception.
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.
By catching issues early, Rapid7 InsightCloudSec helps us prevent costly breaches or regulatory fines; for example, automating patching and misconfiguration audits can save thousands in operational overhead.
It provides a good security posture and helps handle misconfigurations and day-to-day remediations.
I can confirm money and time savings with Rapid7 InsightCloudSec, as we can scan the entire IP range simultaneously instead of manually checking each asset for vulnerabilities.
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.
On a scale of 1 to 10, the customer support would be rated a 10, as responses are typically received within about half an hour to an hour when creating a ticket.
They have excellent support with internal Slack channels and are directly reachable through Teams.
I interacted with customer support after an endpoint compromise incident, and they responded quickly and provided clear insights that were essential for resolving the situation.
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.
I have not experienced performance issues as I add more assets, and everything operates smoothly within one console.
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.
Rapid7 InsightCloudSec works without any stability issues so far.
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.
If Rapid7 InsightCloudSec could support more third-party tools or modern CI/CD pipelines, integrating it into my developer workflow would reduce time to fix and foster a shift-left security mindset.
Rapid7 InsightCloudSec already provides us real-time feedback loops, but if it also provides real-time feedback to the developers, then it would help the application shift left, meaning the security will shift left as well.
Rapid7 InsightCloudSec needs improvements such as AI-driven risk prioritization, proactive cloud risk modeling, advanced IAM privilege analysis, multi-cloud attack path mapping, pre-built automated hardening, defining stronger policy as code support, better container and serverless coverage, and cost optimization insight along with safe auto-remediation with rollback improvements.
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.
It is cheaper.
The more numbers you have, the less costly the product becomes, as licensing operates on volume.
While it was not overly expensive, I do wish for more discounts for bulk purchases since we have implemented it widely across our cloud security posture.
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.
It has reduced the number of security incidents that used to happen by 40%, and the log management time has been reduced by 20 to 30%.
Using Rapid7 InsightCloudSec alongside our ManageEngine patch management module positively impacts my organization by scanning assets deeply and providing all identified vulnerabilities, from zero-day to any vulnerabilities on an asset, addressing those that ManageEngine might not identify.
Rapid7 InsightCloudSec has helped us save thirty percent time in our log retrievals, and it completely changed log searching, making it really fast when we search for logs, with no prior knowledge required.
| Product | Market Share (%) |
|---|---|
| Datadog | 1.9% |
| Rapid7 InsightCloudSec | 1.6% |
| Other | 96.5% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 98 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
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.
Rapid7 InsightCloudSec is a comprehensive CSPM tool catering to cloud security across Docker and Kubernetes workloads, ensuring rigorous data classification and protection, focusing on AWS and Azure platforms.
Organizations leverage Rapid7 InsightCloudSec for securing cloud environments, integrating smoothly into Kubernetes settings for extensive security oversight. This tool addresses data protection with governance and access controls, providing centralized visibility and alert mechanisms. Users depend on its threat detection capabilities, easing data security management on AWS and Azure. The platform integrates automated processes and agentless scanning to foster an understanding of cloud security dynamics. Enhancements in CNAPP management and more intuitive interfaces could further streamline its use.
What are the most important features of Rapid7 InsightCloudSec?In financial sectors, Rapid7 InsightCloudSec is critical for safeguarding sensitive information and ensuring compliance. Healthcare industries use it to protect patient data, adhering to strict regulatory standards. E-commerce businesses appreciate its ability to secure transaction data while maintaining service availability through reliable threat detection and mitigation strategies.
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