

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.
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Save money by identifying problems, thereby reducing monetary losses on their application side.
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.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
Whenever we faced any issues, we could get timely resolution from their support.
If tomorrow I were to contract AWS or Google Cloud Services, I could manage them from the same place.
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.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
CloudCheckr is stable and rock solid.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
There have been no stability issues with Dynatrace.
Dynatrace is a SaaS product with frequent agent management updates.
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.
The data does not work in real time; rather, it takes between one and three days to show you the usage.
The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
Dynatrace could enhance cost and licensing structures, as the current pricing can be expensive for large-scale deployments.
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
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.
Dynatrace is known to be costly, which delayed its integration into our system.
If setting up in a large scale environment, it is overwhelming because it is expensive.
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
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.
The integration with Power BI for generating detailed reports is a standout feature.
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
Dynatrace links compute with services and services with code and other components.
| Product | Mindshare (%) |
|---|---|
| Dynatrace | 2.9% |
| CloudCheckr | 0.6% |
| Other | 96.5% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 50 |
| Large Enterprise | 299 |
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.
Dynatrace offers AI-driven root cause analysis, full-stack observability, and more. Its seamless integration and automated alerts enhance operational efficiency for application performance monitoring across diverse environments.
Dynatrace provides users with comprehensive tools for proactive monitoring, leveraging AI-powered insights to detect bottlenecks and monitor user behavior. It enhances system dependency visualization via Smartscape and offers deep transaction insights through PurePath. Session Replay captures real user experiences, while custom dashboards emphasize essential metrics. Integration capabilities and seamless deployment are key, though users face challenges with navigation, integration, and licensing. Enhancing third-party training tools and optimizing real-time AI diagnostics is desired, with demands for better database monitoring reports and simpler UI.
What are Dynatrace's key features?Dynatrace is implemented in industries like finance for monitoring infrastructure and user experience. In manufacturing, it helps ensure system reliability. Its AI-driven approach is crucial for cloud deployments, supporting performance optimization and proactive monitoring.
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