Datadog and Cisco Secure Network Analytics are prominent players in the IT monitoring and security analytics category, catering to diverse business needs. Datadog has a slight advantage due to its cloud-native features and user-friendly interface.
Features: Datadog is notable for its hosted environments, offering seamless dashboards, an extensive API ecosystem, and intuitive tagging, which simplifies monitor creation and integration. Cisco Secure Network Analytics emphasizes visibility and insights into encrypted traffic and threat detection, supporting superior network security.
Room for Improvement: Datadog users often highlight the need for improved integration and clearer documentation. They also seek AI implementation improvements and a more consistent API. Cisco Secure Network Analytics could benefit from integrating advanced AI features, enhancing reporting, and simplifying setup for less technical users.
Ease of Deployment and Customer Service: Datadog's cloud-native solution works well across public and hybrid clouds, requiring reliable internet. Its support is responsive with comprehensive documentation, although some users experience delays. Cisco Secure Network Analytics excels in on-premises setups, offering robust service with responsive support, but would gain from better cloud compatibility.
Pricing and ROI: Datadog's usage-based pricing can lead to variable costs, but it provides significant ROI by enhancing troubleshooting and reducing downtime. Cisco Secure Network Analytics, perceived as more expensive, justifies its cost with comprehensive threat visibility yet would benefit from a more scalable pricing model to suit various organizations.
There is a lack of adequate local support from the Indian side.
For technical support of Cisco, the support they provide depends on how the client procures it, and so far, it's understandable.
Cisco products are incredibly stable, boasting a 200% stability.
Once resolved, the system works well, and overall I think it's good.
The solution should have the ability to analyze security events not only at the network layer but also at the application and OS layers.
Proper management of the database is also important; it should be centralized for easier data collection from a single database.
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.
Cisco solutions are considered to be very expensive.
Regarding cost, for the Bangladesh context, Cisco Secure Network Analytics is a little bit high-priced because we are a developing country, making it tough to manage affordable solutions.
The setup cost for Datadog is more than $100.
AI provides suggested common lines and protection features that help safeguard networks from various threats or unwanted situations.
The most valuable features include encrypted traffic analytics and the ability to fulfill requirements at the network level.
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.
Product | Market Share (%) |
---|---|
Datadog | 3.1% |
Cisco Secure Network Analytics | 1.2% |
Other | 95.7% |
Company Size | Count |
---|---|
Small Business | 11 |
Midsize Enterprise | 7 |
Large Enterprise | 52 |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Cisco Secure Network Analytics is a highly effective network traffic analysis (NTA) solution that enables users to find threats in their network traffic even if those threats are encrypted. It turns an organization’s network telemetry into a tool that creates a complete field of vision for the organization’s administrators. Users can find threats that may have infiltrated their systems and stop them before they can do irreparable harm.
Cisco Secure Network Analytics Benefits
A few ways that organizations can benefit by choosing to deploy Cisco Secure Network Analytics include:
Cisco Secure Network Analytics Features
Some of the many features that Cisco Secure Network Analytics offers include:
Reviews from Real Users
Cisco Secure Network Analytics is a solution that stands out even when compared to many other comparable products. Two major advantages that it offers are the way that it enables users to define the threshold at which the solution will issue a warning to administrators and the predefined alerts that it offers straight out of the box.
Gerald J., the information technology operations supervisor at Aboitiz Equity Ventures, Inc., writes, “StealthWatch lets me see the ports running in and out and the country. It has excellent reporting, telemetry, and artificial intelligence features. With the telemetry, I can set thresholds to detect sudden changes and the alarms go through the PLC parts. I can see all the ports running on that trunk.”
A senior security engineer at a tech services company, says, “Cisco Stealthwatch has predefined alerts for different types of security issues that might happen in the network. Whether it's PCs or servers that are used for botnets or Bitcoin mining we receive the alerts automatically. This functionality is what we receive from the solution out of the box.”
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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