

Darktrace and Gigamon compete in the cybersecurity space, focusing on threat detection and network visibility. Darktrace has the upper hand with its advanced AI-driven capabilities, while Gigamon excels in data management and network analysis.
Features: Darktrace's standout features include a rapid threat detection engine, AI analytics, and comprehensive network visibility. The platform's powerful alert system ensures minimal false positives, providing actionable alerts. Gigamon Deep Observability Pipeline is notable for its packet filtering capabilities, which improve network traffic analysis, and its ability to streamline data for security and optimization.
Room for Improvement: Darktrace users would benefit from better SIEM integration, more straightforward configurations, and enhancements to endpoint protection. Pricing models and visualization tools are also areas needing refinement. Gigamon requires improvements in cloud network monitoring and addressing performance issues to enhance functionality and reliability in diverse network environments.
Ease of Deployment and Customer Service: Both Darktrace and Gigamon offer on-premises and hybrid cloud deployment options. Darktrace supports a wider array of cloud services, receiving positive feedback for its responsive and helpful customer service. Gigamon shares a reputation for strong customer support but is less frequently highlighted, though deployment is noted as straightforward for both products.
Pricing and ROI: Darktrace is perceived as expensive, but users often report a strong ROI thanks to its threat prevention capabilities. The pricing models are flexible but generally higher, affecting smaller organizations. Gigamon's pricing is also on the higher side but seen as slightly more competitive. Both solutions enhance security measures, with Darktrace providing significant savings through effective threat mitigation.
Other NDR solutions provide virtual appliances that can be deployed on virtualization servers to get up and running quickly.
Using this solution provides financial benefits by securing from server attacks, which offers indirect savings.
The technical support from Darktrace is of high quality.
Darktrace provides excellent technical support with a monthly meeting to review platform incidents, ensuring the system functions as expected.
The challenge lies in waiting for a response after logging a ticket.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
Darktrace has high scalability, and I would rate it a nine out of ten.
Since it's cloud-based, it expands easily.
There is still a gap in terms of storage, and we are trying to figure out how to increase that capacity for regulated environments, which require data retention for 5 to 6 years.
The stability of Darktrace is excellent, rated ten out of ten.
The appliance itself has never let me down.
For stability, I would rate Darktrace an eight out of ten.
There is no dedicated salesperson in Egypt, and having one would help to improve focus on this market.
They say they can integrate with most firewalls, but when we did an integration with Meraki MX firewalls, that integration didn't work and still doesn't work to this day.
We need Darktrace on each branch to get the data out, and I suggest having some kind of a centralized product that gets data from multiple sources to aggregate and provide the data.
The product is considered expensive compared to others.
The pricing is costly in USD, and they charge based on device counts.
The licensing cost is approximately eight dollars a year.
It is capable of responding to lateral movement and ransomware deployment within environments where there is data exfiltration.
I do not need to manually process incidents as Darktrace provides an incident summary, potential detection paths, and other details, all exportable with just a click.
If I am in a data center where I don't have layer two, it becomes an issue because the autonomous response is reliant on sending spoofed TCP resets to my core switch to block traffic, which is a major issue.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
| Product | Mindshare (%) |
|---|---|
| Darktrace | 14.8% |
| Gigamon Deep Observability Pipeline | 2.3% |
| Other | 82.9% |
| Company Size | Count |
|---|---|
| Small Business | 45 |
| Midsize Enterprise | 19 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
Darktrace revolutionizes network security with AI-driven alerts, anomaly detection, and robust visibility across networks. It autonomously detects threats, minimizing the need for human oversight, and offers efficient IP identification with minimal false positives.
Darktrace uses advanced AI analytics to enhance network protection. Its powerful real-time threat response capabilities and self-learning enable thorough monitoring and insightful analysis of network activities. While providing scalable and reliable security, users seek improvements in false positive reduction, user-friendly interfaces, and pricing. Enhanced third-party integration, more effective dashboards, and centralized automation features remain top priorities. Users benefit greatly from its Antigena feature, offering automated responses like blocking suspicious connections for robust network defense.
What Are Darktrace's Key Features?In industries employing Darktrace, it is pivotal in securing LAN networks, analyzing behavioral patterns, and detecting internal and external threats. Adoption alongside platforms like F5 and SAP enhances incident response, traffic analysis, and threat identification, utilizing Antigena for proactive security measures.
Gigamon Deep Observability Pipeline boosts network visibility and performance through features like NetFlow and deduplication, facilitating data flow insights and improved security. It supports traffic monitoring and management across various infrastructures.
Gigamon Deep Observability Pipeline enhances network management by offering features such as NetFlow, deduplication, header stripping, and packet filtering. These capabilities are instrumental in optimizing performance, offering users stability and improved encryption processes. Despite its robust hardware capabilities, it requires enhancements in security, filtering, and delivery time for hardware. Users note challenges with monitoring cloud networks and insufficient cluster capacity. There is also a call for improved interface design and internal traffic flow visualization.
What are the essential features of Gigamon Deep Observability Pipeline?Gigamon Deep Observability Pipeline finds application across industries for network visibility and management. It is used extensively for traffic monitoring, SSL inspection, mobile network oversight, and data center operations. Organizations leverage its capabilities to address network issues, enhance security, and streamline performance monitoring processes. Its ability to group traffic aids significantly in problem-solving and SSL detection.
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