

Gigamon Deep Observability Pipeline and Exabeam compete in the network visibility and security analytics category. Exabeam seems to have the upper hand due to its robust features despite Gigamon’s favorable pricing and support.
Features: Gigamon Deep Observability Pipeline offers network visibility, traffic analysis capabilities, and detailed packet inspection. Exabeam provides advanced threat detection, behavioral analytics, and security event correlation. Exabeam’s focus on security analytics gives it an edge in feature offerings.
Room for Improvement: Gigamon Deep Observability Pipeline needs enhancements in scalability, integration with other tools, and user interface. Exabeam users suggest better reporting functions, ease of customization, and more streamlined updates. Gigamon's need for scalability and integration improvements are more pressing.
Ease of Deployment and Customer Service: Gigamon Deep Observability Pipeline is noted for its straightforward deployment process but has mixed reviews about customer service responsiveness. Exabeam’s complex deployment process is balanced by higher marks for customer service and support.
Pricing and ROI: Gigamon Deep Observability Pipeline is seen as cost-effective with a favorable ROI. Exabeam, while expensive, delivers strong ROI due to its comprehensive feature set, with users feeling the higher cost is justified by its capabilities.
I have seen a return on investment with Exabeam Fusion SIEM, and it is worth the money.
Exabeam offers more machine learning models that detect anomalies.
I would rate Exabeam Fusion SIEM support team a nine out of ten; I do not give anyone a perfect score.
Even with TAM support from Exabeam, many issues go unresolved.
I also had the chance to look at the documentation, and the documentation is good.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
I believe Exabeam Fusion SIEM is excellent regarding scalability, and I would rate it at approximately an eight out of ten.
Regarding Exabeam's scalability and how well it adapts to its customers' needs, I would rate it an eight.
These problems were not frequent, and the last six to eight months have been stable.
Regarding stability, I would rate Exabeam Fusion SIEM at approximately eight to eight and a half out of ten because it is very stable.
Overall, I think Exabeam's stability level is good.
The correlation rules are excellent.
I have explored the SaaS version; it offers many new features.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
The pricing for Exabeam Fusion SIEM is not cost prohibitive, but it was a little more than I initially thought.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
Exabeam's UEBA is the most valuable feature that I have found so far.
I appreciate that Exabeam Fusion SIEM has so many rules built in, approximately eight hundred and fifty, and almost five hundred fifty integrations along with the behavior histograms.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
| Product | Mindshare (%) |
|---|---|
| Exabeam | 1.7% |
| Gigamon Deep Observability Pipeline | 0.5% |
| Other | 97.8% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
Exabeam offers intuitive interfaces, detailed dashboards, and powerful analytics to enhance security investigations. Its machine learning detects complex threats with automation streamlining tasks for efficiency and integration with AWS.
Exabeam stands out with its robust cybersecurity management capabilities, offering advanced user behavior analytics and incident detection tools. Security teams can use its systems to monitor events, create investigative timelines, and analyze log data. While praised for easy use, it benefits from initial training for optimal utilization. Challenges include the need for better flexibility, cost-management, and enhanced AI integration. However, it facilitates seamless AWS integration, real-time updates, and vulnerability prioritization within business contexts. Improvements in dashboard customization and overall performance, especially in UI and log ingestion, could enhance usability.
What are Exabeam's key features?Exabeam is widely used across industries such as finance and government for cybersecurity management. Organizations leverage its capabilities for integrating logs, protecting sensitive environments, and supporting compliance efforts. Its tools aid in detecting anomalies and managing security operations within infrastructures effectively.
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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