

Find out in this report how the two AI Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Honeycomb Enterprise played a vital role in identifying the problems in the initial calls itself. That has actually saved us a lot of incidents.
The biggest return on investment with Honeycomb Enterprise is being able to find, if I am doing production support and something goes wrong, the exact scenario or the exact request and response and the details of that really quickly.
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 was looking at Honeycomb Enterprise support with Go Lambdas, it was a little tricky to find someone who could help me answer the question.
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.
When you send traces, you will get the complete view of the life of the code and how it has been executed.
Honeycomb Enterprise scales best when all the products in the company use it because it allows tracing outside of individual products to see how they interact.
That is being used for at least eight thousand hosts.
I have not experienced performance issues as I add more assets, and everything operates smoothly within one console.
They could not get proper tracing with Honeycomb Enterprise at that time.
In terms of stability and availability, this is an impressive one.
Rapid7 InsightCloudSec works without any stability issues so far.
Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment.
The main thing is that I think everything should very hard aim for the direction of being AI compatible because every engineer, or most engineers now use AI to code.
That is what performance engineers and SREs need to see for each request, where it spent the entire time; how many other services or databases it interacted with and what took more or less time.
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.
If you can improve the traditional detection rules to reflect current detection rules, it would make it significantly easier for us to manage, as we constantly need to check legacy rules to update or possibly turn them off. Updating the legacy rules should be a priority.
In terms of pricing, it was a little challenging to get the company to commit to the full pricing of Enterprise, but once we got there it was nice.
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.
We get alerts into Slack, and they work great. We see a lot of metrics go through into Slack, and they are really useful for keeping our team focused on only seeing one place to see alerts.
The most valuable feature of Honeycomb Enterprise for me is the root cause analysis part because it helps me greatly with the response messages and derived error messages which are very clearly mentioned in Honeycomb Enterprise logs.
Automated pull requests streamline the remediation process, facilitating efficient mass updates across multiple repositories.
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.
Rapid7 InsightCloudSec positively impacts my organization by integrating tightly with my existing vulnerability management process and workflows, particularly in creating a new project and implementing trigger-based scanning.
| Product | Mindshare (%) |
|---|---|
| Rapid7 InsightCloudSec | 1.2% |
| Honeycomb Enterprise | 1.2% |
| Other | 97.6% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
Honeycomb Enterprise is designed to optimize performance visibility, offering a robust platform for distributed system observability. It provides insights for complex data and aids in faster issue resolution, making it a valuable tool for IT professionals.
This tool is tailored for real-time data tracking and improving system performance efficiency. Enterprises benefit from its capacity to handle large-scale data, ensuring seamless operations and continuity. Honeycomb Enterprise helps teams to tackle data challenges head-on by delivering comprehensive analytics that enhance infrastructure reliability and performance metrics.
What Features Make Honeycomb Enterprise Stand Out?In industries like finance, e-commerce, and technology, Honeycomb Enterprise implementations demonstrate its utility in managing complex data flows and optimizing system reliability. Businesses in these sectors leverage its capabilities to maintain high service standards and operational efficiency.
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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