

Find out in this report how the two Cloud Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Initially, the CapEx was higher than VMware's, but considering the operational cost over time, it has been beneficial.
You will get 60% ROI with Nutanix Prism on-premises.
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.
Basic means standard business hours support, Production means 24/7, Mission Critical means faster SLA with technical account managers connectivity, and Ultimate means full white-glove support with a dedicated team.
Nutanix support is excellent, and their response time is extremely fast.
If there is any hardware issue with HP or Dell, customers don't need to raise tickets with the hardware OEM. They can raise tickets on the Nutanix portal itself.
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.
Nutanix Prism is completely scalable; you can add nodes and disks without using downtime, allowing for easy scaling.
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.
The entire Nutanix solution is stable.
I have not experienced any downtimes, crashes, or performance issues with Nutanix Prism.
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 presales and marketing team should inform clients about resource requirements, such as RAM used by CVM, to help manage expectations.
Regarding Nutanix Prism's single pane overview, the limitation is that you cannot troubleshoot all errors from Prism Central; you sometimes need to log into the CLI to change settings such as the IP address of the CVM in the AHV.
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.
At first, the cost seemed heavy, but over time, its cost-effectiveness became evident.
I hear that Nutanix Prism is more expensive than others, but as a technical person, I don't know the details about the pricing aspect.
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.
Nutanix Prism is completely scalable; you can add nodes and disks without downtime, allowing for easy scaling.
One of the most useful features is the disaster recovery setup, which includes two clusters, one for our production server and another for our recovery site.
| Product | Market Share (%) |
|---|---|
| Datadog | 6.7% |
| Zabbix | 11.6% |
| PRTG Network Monitor | 4.8% |
| Other | 76.9% |
| Product | Market Share (%) |
|---|---|
| Nutanix Prism | 10.7% |
| VMware Aria Operations | 27.1% |
| IBM Turbonomic | 11.9% |
| Other | 50.300000000000004% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 98 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 14 |
| Large Enterprise | 28 |
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.
Nutanix makes infrastructure invisible, elevating IT to focus on the applications and services that power their business. The Nutanix enterprise cloud platform leverages web-scale engineering and consumer-grade design to natively converge compute, virtualization and storage into a resilient, software-defined solution with rich machine intelligence. The result is predictable performance, cloud-like infrastructure consumption, robust security, and seamless application mobility for a broad range of enterprise applications.
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