Datadog and Cisco UCS Manager compete in IT infrastructure monitoring and management. Datadog has an edge due to its comprehensive integration and cloud-native features ideal for software-centric environments, whereas Cisco UCS Manager is tailored for hardware management.
Features: Datadog provides robust cloud and software monitoring through integrations with AWS and Docker, offering features like anomaly detection, dashboards, and alerting that support complex infrastructures. It enables users to easily create and share customizable dashboards. Cisco UCS Manager excels in managing hardware by offering flexibility in network and SAN configuration, with a focus on simplifying management and provisioning tasks within on-premises environments.
Room for Improvement: Datadog users commonly express challenges with pricing complexity, dashboard customization, and a need for more intuitive interfaces alongside advanced query capabilities. Suggestions for more stable product versions and enhanced AI-powered insights have been identified. Cisco UCS Manager users mention concerns with interface complexity, scalability issues, and the need for better performance monitoring tools, with an emphasis on improved hardware-centric integration and user experience.
Ease of Deployment and Customer Service: Datadog supports private, hybrid, and public cloud deployments, and offers proactive customer service, though some users report delays in response and complexity in troubleshooting. Cisco UCS Manager is designed for on-premises deployment, providing a controlled environment ideal for hardware focus. Its customer service is regarded as reliable, although some users find the cost and complexity of resolution a barrier.
Pricing and ROI: Datadog's pricing is perceived as complex, requiring careful resource management to avoid high costs, which may impact ROI. Despite this, its capabilities are valued for reducing troubleshooting time and enhancing operational efficiency. Cisco UCS Manager, while costly in terms of memory and licensing, is valued for its stable hardware performance and reliability, with ROI mainly linked to consistent hardware performance rather than innovative cost savings that Datadog offers.
Regarding Cisco tech, they are pretty good.
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.
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.
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.
As long as they can afford it, there is a setup cost involved.
The setup cost for Datadog is more than $100.
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.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
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