

Microsoft System Center and Datadog are leading solutions in system management and monitoring. Datadog seems to have the upper hand in flexibility and features for cloud environments, while Microsoft System Center is more cost-effective for Microsoft infrastructure users.
Features: Microsoft System Center integrates seamlessly with Microsoft products, facilitating easy deployment and management, offering extensive automation features, and strong endpoint management. Datadog provides diverse integrations, intuitive setup, comprehensive monitoring across platforms, and capabilities like custom dashboards and alerts.
Room for Improvement: Microsoft System Center requires better integration with non-Microsoft products and a more user-friendly installation process. It also needs improvements in documentation and cloud monitoring. Datadog could simplify its pricing model, enhance support for large-scale environments, and reduce its feature learning curve, with better insights into usage to manage costs effectively.
Ease of Deployment and Customer Service: Microsoft System Center is suited for organizations with a solid Microsoft foundation, though its complex setup may pose challenges. Its customer service has mixed reviews. Datadog, as a cloud-native platform, offers flexible deployment options and generally responsive customer service, crucial during setup and troubleshooting.
Pricing and ROI: Microsoft System Center is cost-effective for companies using Microsoft solutions, usually involving annual licensing. It typically shows positive ROI by streamlining operations. Datadog’s usage-based pricing can be costly if not monitored, but offers robust features with the potential for high ROI due to its advanced cloud integration capabilities, despite some concerns about pricing transparency.
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.
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.
As a partner, I cannot create a ticket directly; I have to involve the end user's email to create one, so using the Software Assurance ID to create a ticket directly is not possible, making it very challenging for me.
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.
Microsoft System Center is scalable, allowing integration even if I have different sites.
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.
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 disadvantage of Microsoft System Center is related to the many integrated services; if one service is failing, then all features will be affected.
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.
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.
In Microsoft System Center, all the features are integrated already, whereas in ManageEngine, you have to license each feature individually to access those features.
| Product | Market Share (%) |
|---|---|
| Datadog | 6.7% |
| Microsoft System Center | 0.7% |
| Other | 92.6% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 10 |
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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