Datadog and Cisco Intersight compete in the IT infrastructure management and monitoring category. Datadog seems to have the upper hand with its comprehensive monitoring capabilities and user-friendly interface, while Cisco Intersight excels in centralized infrastructure management.
Features: Datadog provides intuitive metric and monitor setup with features like visualization, metrics aggregation, and AWS integration. It offers anomaly detection and customizable dashboards for seamless monitoring. Cisco Intersight focuses on infrastructure management, offering visibility across data centers and integration with various storage and cloud solutions. It centralizes management capabilities for ease of use.
Room for Improvement: Datadog users identify issues with performance on older data, limited log functionality, and cost predictability, along with a need for more integration flexibility and better frontend support. Cisco Intersight requires enhancement in hybrid cloud management, automation capabilities, better integration with non-Cisco products, and a more user-friendly setup process.
Ease of Deployment and Customer Service: Datadog supports deployment in public, private, and hybrid clouds, with users praising its proactive and helpful customer service despite variability in technical support. Cisco Intersight offers strong on-premises and hybrid cloud capabilities, often rated highly for customer service, though technical support may be slower than alternatives. Datadog's strong public cloud presence and ease of use are frequently noted.
Pricing and ROI: Datadog's pricing is flexible but often viewed as complex and potentially expensive if usage is not carefully monitored. However, users report significant ROI via time savings and improved operations. Cisco Intersight's pricing is considered cost-effective and simpler for infrastructure management, though high initial costs might be concerning. Datadog provides deeper application-level insights, while Intersight offers cost-effective data center management.
It simplifies the onboarding of new hardware, reducing time spent on manual installations and configurations.
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.
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
For complex issues, it's challenging to get the right engineer quickly unless you have a specific contract like CX.
Cisco provides better support than anyone else.
Cisco technical support is helpful.
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.
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.
Datadog's scalability has been great as it has been able to grow with our needs.
Since it is a SaaS platform, we did not have to worry about backend scaling.
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
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.
Metrics collection and alerting have been consistent in day-to-day use.
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.
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.
When registering our devices and servers using tokens, auto-detection could make it easier by automatically identifying resources and adding them to the platform.
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.
Having more transparent and granular cost control features would make it easier to manage usage.
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.
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
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.
This solution has provided time savings and required fewer people to operate this tool, rather than direct cost savings.
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.
It also provides predictive analysis, predicting data leaks and making it easy to scale up servers remotely without requiring physical interference.
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.
| Product | Mindshare (%) |
|---|---|
| Datadog | 3.7% |
| Cisco Intersight | 1.3% |
| Other | 95.0% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 47 |
| Large Enterprise | 100 |
Cisco Intersight delivers advanced data center management with cloud integration, remote server scaling, and predictive analytics, promoting efficient infrastructure management. It supports hybrid environments and is suitable for scaling across enterprises.
Cisco Intersight offers a comprehensive view of data centers with seamless cloud platform integration, enhancing manageability across environments. It is known for workflow automation, inventory management, and predictive analysis, allowing users to optimize workloads. Users leverage its scalability and ease of use, with features that aid in remote management and integration with both Cisco and non-Cisco products. However, improvements are needed in usability, automation, and third-party tool integration, especially for on-premises and hybrid cloud management. Users often face challenges with firmware management and transitioning from UCS Manager. Desired enhancements include better software compatibility, third-party integrations, expanded microservices support, enhanced AI features, and more automation capabilities, addressing setup complexity, support, and high maintenance costs.
What are the main features of Cisco Intersight?In industries where data center management and integration are critical, such as finance, healthcare, and telecommunications, Cisco Intersight is used to monitor and manage infrastructure across multiple sites. Its capability to combine platforms like HyperFlex and VMware allows organizations to maintain hardware status effectively, supporting both on-premises and cloud environments for efficient service delivery.
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.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
