OpenText Behavioral Signals and Gigamon Deep Observability Pipeline are competing products in the data insights enhancement category. Gigamon Deep Observability Pipeline has the upper hand due to its advanced features that prioritize extensive data visibility and security.
Features: OpenText Behavioral Signals provides strong analytics for user engagement and sentiment analysis, extracts behavioral insights from interactions, and offers easy integration into existing systems. Gigamon Deep Observability Pipeline excels with its exceptional network visibility, deep packet inspection, and robust anomaly detection features that enhance network security.
Room for Improvement: OpenText Behavioral Signals could enhance its network security features and broaden its analytical capabilities. Additionally, expanding the breadth of user interaction insights and offering more advanced customization options would be beneficial. Gigamon Deep Observability Pipeline could improve by simplifying its deployment process, enhancing its user interface for easier navigation, and providing more intuitive support for less specialized knowledge requirements.
Ease of Deployment and Customer Service: OpenText Behavioral Signals allows for straightforward deployment with strong customer support, facilitating quick adoption. Gigamon Deep Observability Pipeline, on the other hand, offers comprehensive deployment options that may require specialized knowledge, although its support effectively mitigates these complexities.
Pricing and ROI: OpenText Behavioral Signals is competitively priced, offering a quicker ROI through easy implementation and rapid acquisition of insights. Gigamon Deep Observability Pipeline, though higher in cost, offers substantial long-term returns through improvements in data visibility and network security.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
| Product | Market Share (%) |
|---|---|
| OpenText Behavioral Signals | 0.5% |
| Gigamon Deep Observability Pipeline | 0.2% |
| Other | 99.3% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
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.
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
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