Datadog and Cisco UCS Manager both compete in the field of IT infrastructure management and monitoring solutions. Datadog seems to have the upper hand with its expansive cloud integration capabilities and ease of use, particularly in environments needing broad and flexible monitoring setups.
Features: Datadog includes sharable dashboards, dogstatsd API, and seamless integrations with cloud providers like Amazon ECS, RDS, and AWS. Its infrastructure monitoring and out-of-the-box dashboards are particularly useful for creating capacity plans rapidly. Cisco UCS Manager is valued for its ease of management, hardware flexibility, and integration essential for network and storage management.
Room for Improvement: Datadog needs to enhance performance with older metric data, improve control over dashboard sharing, develop more consistent API interfaces, and refine its user interface. Its pricing is considered high, particularly when utilizing newer features. Cisco UCS Manager could benefit from better-supported automation processes and simplified user interfaces to enhance user onboarding and ease the complexity present in setup and firmware management.
Ease of Deployment and Customer Service: Datadog provides versatile deployment options across private, public, and hybrid clouds, with proactive customer service. But it occasionally falters with slow support interactions. Cisco UCS Manager, being an on-premises solution, requires more technical expertise for setup. Its customer service is reputable, known for being proactive and helpful, although Datadog's instant support slightly edges it, especially beneficial for new users.
Pricing and ROI: Datadog operates on a usage-based pricing model that, while flexible and adaptable to specific organizational needs, can grow expensive. It reports high satisfaction with ROI through time efficiency and reduced downtime, although unexpected expenses when deploying advanced features are concerns. Cisco UCS Manager is perceived as expensive, particularly for smaller organizations, but buying it with Cisco hardware offers value via bundle discounts, especially for businesses already committed to Cisco's ecosystem.
I can manage all LAN uplinks and fiber channel storage uplinks directly from UCS Manager.
Cisco UCS Manager provides cost savings by reducing the time support staff spend on long deployments.
With Intersight, service requests are automatically generated, enhancing the user experience and providing timely resolutions.
For a severity one case, a call ensures immediate assistance and resolution of the matter.
Regarding Cisco tech, they are pretty good.
I can install the hypervisor, such as VMware, and add the servers into the cluster seamlessly.
I would rate the scalability at nine out of ten, probably.
If there's a really complex problem, I would probably give it a ten since it gets escalated quickly.
We would benefit from advancements in AI that offer firmware recommendations automatically, reducing the need for human intervention and vendor communication.
It doesn't work straight out of the UCS, so someone who knows what they're doing is needed immediately, and it can be quite confusing.
While it has been improved from using Java to HTML, simplifying the tabs would enhance user experience.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
Recently, we acquired an excellent bundle with significant discounts, with offers like buying three servers and getting one free, along with UCSC and fabric included for free.
As long as they can afford it, there is a setup cost involved.
The setup cost for Datadog is more than $100.
It supports ease of deployment, allowing for quick mass deployments in the data center, saving time and resources by doing so from a remote location.
Whenever there's a failure of any component, it's very easy to swap because you just disassociate that profile, remove the faulty blade, connect the new blade, and associate that profile, maintaining the same MAC address and worldwide port name.
One of the valuable features is the user interface base, specifically the C user interface.
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.
The technology itself is generally very useful.
| Product | Market Share (%) |
|---|---|
| Datadog | 5.0% |
| Cisco UCS Manager | 1.2% |
| Other | 93.8% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 78 |
| Midsize Enterprise | 42 |
| Large Enterprise | 82 |
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.
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