Datadog and Cisco Intersight compete in the observability and infrastructure management category. Datadog seems to have the upper hand in terms of monitoring capabilities and integrations, while Cisco Intersight excels in infrastructure management within Cisco ecosystems.
Features: Datadog provides comprehensive observability across systems, applications, and services with features like APM, synthetic testing, real user monitoring, and extensive integrations. It also allows correlating logs, metrics, and traces, offering a unified platform for enhanced observability. Cisco Intersight focuses on infrastructure management, with strong integrations within Cisco solutions and third-party products, offering visibility and insights specifically into data centers and Cisco environments.
Room for Improvement: Datadog users often need better cost management and transparency as its features can lead to high costs. There's also a need for improved integrations and documentation for new users. Cisco Intersight could enhance its automation capabilities and expand integration with third-party tools. Users also request a streamlined interface for Datadog and a simplified setup for Cisco Intersight, especially for on-premise use.
Ease of Deployment and Customer Service: Datadog is flexible, deployable across various cloud environments, including hybrid and multi-cloud setups, and generally receives positive customer service feedback despite occasional slow ticket resolutions. Cisco Intersight is mainly used in hybrid and on-premise environments, appreciated for its integration capabilities within Cisco ecosystems, though setup complexity is noted, with users desiring more support during deployment.
Pricing and ROI: Datadog's pricing is considered high, especially for smaller organizations, with users stressing the importance of monitoring costs to avoid unexpected charges. However, its comprehensive monitoring justifies the investment due to potential efficiency gains and reduced downtime. Cisco Intersight offers competitive pricing with straightforward licensing, appreciated for cost-effectiveness and valued integration within Cisco's ecosystem.
It simplifies the onboarding of new hardware, reducing time spent on manual installations and configurations.
For complex issues, it's challenging to get the right engineer quickly unless you have a specific contract like CX.
Cisco technical support is helpful.
Cisco provides better support than anyone else.
I rate its scalability a ten out of ten due to its capability to manage multiple domains and automate service requests.
Cisco Intersight is scalable enough for our needs, allowing management in a multi-environment setup and working remotely while deploying servers.
Some steps are not included in the official documentation, which can create challenges.
It is always accessible online, secure, and allows access from any location, following strict authentication standards.
When registering our devices and servers using tokens, auto-detection could make it easier by automatically identifying resources and adding them to the platform.
There is a significant issue regarding migration from UCS Manager into Intersight without formatting the Fabric Interconnects (FI), which is problematic in a production environment.
It would be great to have a chat session mode AI so that when I am on standby and encountering issues, I could engage with it, much like ChatGPT.
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.
The pricing is fair and reasonable, particularly for enterprises.
Cisco Intersight's license cost is very high compared to AWS and Azure solutions, which have lower initiation costs.
The pricing mechanism sounds fair.
The setup cost for Datadog is more than $100.
It also provides predictive analysis, predicting data leaks and making it easy to scale up servers remotely without requiring physical interference.
It provides visibility into other products and storage, and is beneficial for environments where Cisco and other vendors coexist, allowing full visibility of the entire infrastructure.
This solution has provided time savings and required fewer people to operate this tool, rather than direct cost savings.
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.
Cisco Intersight is Cisco’s systems management platform that delivers intuitive computing through cloud-powered intelligence. This platform offers a more intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in ways that were not possible with prior generations of tools. This capability empowers organizations to achieve significant savings in Total Cost of Ownership (TCO) and to deliver applications faster, so they can support new business initiates. The advantages of the model-based management of the Cisco UCS platform plus Cisco Intersight are extended to Cisco UCS servers and Cisco HyperFlex and Cisco HyperFlex Edge systems. Cisco HyperFlex Edge is optimized for remote sites, branch offices, and edge environments.
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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