Datadog and Gigamon Deep Observability Pipeline compete in the monitoring and observability market. Datadog seems to have the upper hand due to its broader feature set and diversified deployment options.
Features: Datadog offers centralized pipeline tracking, synthetic testing, and real user monitoring, enabling comprehensive application and infrastructure management. Gigamon Deep Observability Pipeline provides network visibility with packet filtering and encryption, facilitating traffic analysis.
Room for Improvement: Datadog could enhance root cause analysis, simplify its user interface, and optimize queries while addressing pricing model complexities. Gigamon users suggest making initial setup smoother, improving filtering capabilities, and enhancing visibility features to reduce external tool reliance.
Ease of Deployment and Customer Service: Datadog supports deployment across private, public, and hybrid clouds with generally proactive support, although some inconsistency in support experiences is noted. Gigamon focuses on on-premises and hybrid cloud environments, with noted issues in technical support responsiveness. Datadog provides more diversified deployment options.
Pricing and ROI: Datadog's pricing is viewed as high, particularly as usage scales, but users report significant ROI from time saved in bug assessment. Gigamon is also considered expensive, necessitating precise equipment assessment for cost management. Both products face transparency challenges in pricing strategies, but Datadog's comprehensive ROI insights emphasize time savings in critical issue resolution.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
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.
There should be a clearer view of the expenses.
The setup cost for Datadog is more than $100.
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 Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Product | Market Share (%) |
---|---|
Datadog | 7.4% |
Gigamon Deep Observability Pipeline | 0.4% |
Other | 92.2% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 1 |
Large Enterprise | 5 |
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.
Gigamon Deep Observability Pipeline is a comprehensive network visibility solution that provides real-time insights into network traffic. It offers SSL inspection and mobile network monitoring for traffic monitoring purposes. The solution optimizes networks, aids in security inspection, and improves firewall performance. It is praised for its performance, power, straightforward integration, stability, and ease of initial setup.
With Gigamon, organizations can gain complete visibility into their network traffic, identify potential threats, and take proactive measures to prevent them. The solution is ideal for organizations of all sizes, including enterprises, service providers, and government agencies.
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