

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.
It has reduced manual efforts that would otherwise be spent checking where spending is occurring and ensuring all teams use resources correctly.
I have seen a return on investment of 100%, with significant cost avoidance and measurable savings within the first few months of deployment.
I've seen a return on investment, as the savings are concrete, measurable, and they show up directly in the AWS bill.
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.
The additional support ended up taking longer than expected, with responses that did not meet our need for detailed and technical assistance.
Sometimes support needs to be reached, but they are very responsive and supportive.
The customer support for CloudCheckr is fantastic.
To highlight what is the issue going on in our currently running 100 requests, we just highlight that one request which is very slow or maybe we just move it to the top so that we can alert everybody that this is the problem.
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.
It scales well for MSPs and large enterprises, allowing for management of hundreds of accounts and tens of thousands of resources while retaining performance and visibility.
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.
At times we can be shocked to see that this price is too high for involving too many developers on one peak or having a much bigger data set or more advanced features for our use.
CloudCheckr is stable and rock solid.
They could not get proper tracing with Honeycomb Enterprise at that time.
In terms of stability and availability, this is an impressive one.
Mostly it is reliable, but at times, maybe one or two times in two to three months, these issues do happen.
CloudCheckr is a powerful and feature-rich tool with abundant metrics.
Another area is drift analysis; there have been complaints about tracking optimization opportunities, such as how to track opportunities identified in January and whether they were resolved in February.
An area where CloudCheckr can be improved is pricing.
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.
Overall, the pricing was quite convenient and represented good value for money.
Pricing is feature-tiered under the MSP licensing, and I would say the pricing was quite competitive and fair.
I won't pretend it's cheap, but we've saved multiples of what we pay for it, so the conversation with finance is straightforward.
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.
The cost visibility and reporting are really valuable, and the dashboard is informative and enables good decision-making.
What makes CloudCheckr easy for me to use is its intuitive interface.
The best features CloudCheckr offers include out-of-the-box security and compliance check features that provide over 35 different types of compliance checks at no cost, best practice checks, and alerts.
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.
Honeycomb Enterprise is designed for modern cloud native systems.
| Product | Mindshare (%) |
|---|---|
| Honeycomb Enterprise | 1.1% |
| CloudCheckr | 0.6% |
| Other | 98.3% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
CloudCheckr offers a cohesive platform for managing cloud infrastructures with a focus on cost visibility, security, and compliance. Designed for multi-cloud environments, it provides insights and optimizations to enhance decision-making and resource efficiency.
CloudCheckr delivers thorough cloud management with features like cost analysis, security and compliance checks, and automated optimization suggestions. Its intuitive interface allows for easy deployment, supporting cost-saving measures. Users often find its cost visibility, multi-cloud integration capabilities, and granular reporting particularly beneficial. However, improvements can be made in areas such as Azure and Google Cloud integration, reporting capabilities, pricing model clarity, and UI complexity reduction.
What are CloudCheckr's key features?Industries using CloudCheckr benefit from enhanced cloud financial optimization and security monitoring. Managed service providers find it crucial for customer billing, while organizations leverage its multi-cloud support for maintaining compliance and governing usage. Specifically useful in sectors like finance and technology, it aids in data analysis and cost-saving strategies.
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.
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