Datadog and DX NetOps compete in the IT monitoring and management category. Datadog appears to have the upper hand due to its robust monitoring and analytics features, preferred by users for complex cloud environments.
Features: Datadog features hosted infrastructure, sharable dashboards, and strong anomaly detection. DX NetOps is recognized for network monitoring, performance management, and AI-driven automation in hybrid environments.
Room for Improvement: Datadog users seek better dashboard controls, intuitive pricing insights, and comprehensive support for testing data. DX NetOps could enhance predictive analytics, automate manual processes, and offer more user-friendly programming options.
Ease of Deployment and Customer Service: Datadog supports diverse cloud environments but faces some regional support issues. DX NetOps is praised for customer service despite slower response times compared to competitors.
Pricing and ROI: Datadog's pricing complexity can lead to high costs with additional features, yet it offers flexibility and a good ROI for bug tracking. DX NetOps provides significant discounts over time despite initially being pricey, with a positive impact on enterprise network management.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
They are fast, responsive, and have technical expertise.
The product is very scalable, to the maximum.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
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.
DX NetOps is somewhat convoluted, and some of the programming constructs can be documented or driven through languages such as Python, Perl, and shell scripting, but they have their proprietary language, which may not be very user-friendly.
It would be useful to have more AI features.
The setup cost for Datadog is more than $100.
I think the pricing is expensive.
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
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.
The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
The best features I've seen so far with DX NetOps are that it can work with large scale systems, and it has a lot of functionalities and matrices.
Product | Market Share (%) |
---|---|
Datadog | 3.1% |
DX NetOps | 0.6% |
Other | 96.3% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 1 |
Large Enterprise | 3 |
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.
DX NetOps by CA Technologies, a Broadcom company, improves your time to value through advanced AI capabilities and unified network visibility that delivers simplified NetOps intelligence into the user experience that traverses modern architectures. DX NetOps accomplishes this through high scale, unified network monitoring that enables full-stack analytics for assuring traditional and modern architectures. DX NetOps converts inventory, topology, device metrics, faults, flow and packet analysis into actionable intelligence for network operations teams. Complimented by our AIOps solution, DX NetOps enables IT teams to establish proactive, autonomous remediation capabilities across the applications, infrastructure, and networks that fuel superior user experiences.
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