

Gigamon Deep Observability Pipeline and AWS WAF compete in the network security and traffic monitoring category. Gigamon appears to have the upper hand in adaptability and integration, while AWS WAF stands out in security effectiveness and resource protection.
Features: Gigamon Deep Observability Pipeline provides extensive network traffic monitoring, deduplication, and header stripping capabilities, offering detailed visibility and integration for enhanced security inspections. AWS WAF focuses on layered security for web applications, protecting against SQL injections and cross-site scripting with customizable rules and integrations with other AWS services.
Room for Improvement: Gigamon could improve by incorporating more intelligence in traffic flow analysis and reducing the complexity of its setup process. Enhancing its ability to provide deeper security insights without relying on other tools would also be beneficial. AWS WAF could benefit from better handling of bot attacks and ensuring that its cloud front services are more effective. Improving customization for nuanced threat protection and addressing occasional frustrations with WAF rule flexibility would enhance user satisfaction.
Ease of Deployment and Customer Service: Gigamon Deep Observability Pipeline requires a complex setup for extensive network integration but is supported by comprehensive customer service, simplifying the process. AWS WAF offers straightforward deployment within the AWS ecosystem, known for its ease of use and integration, backed by strong customer support.
Pricing and ROI: Gigamon incurs a substantial initial setup expense but often delivers significant ROI through improved network monitoring and management efficiencies. In contrast, AWS WAF features a more accessible pricing structure, with a pay-as-you-grow model that eases upfront deployment costs, providing immediate security benefits.
With AWS WAF, it is easier for us to block unwanted malicious DDoS attacks and threats from coming into our web application.
Resolving issues can take time because the support personnel may lack product expertise, leading to delays.
They reach out when you send them a ticket, and within 24 hours or less, someone is able to get back to you to solve your problem.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
AWS WAF does scale in the sense that it is fully managed and has automatic scaling.
Since it protects web applications from common attacks such as SQL injection and XSS, it is very stable.
We faced issues with AWS WAF when writing the custom rules.
In terms of reliability, I would rate AWS WAF about six out of ten due to the need for improved signature sets.
If there are scripts in the requests, we should be able to filter those requests to see if there are any scripts running from them.
The level of granularity is not great, and as you cross a certain threshold, the cost goes up by twenty or thirty percent every time.
Compared to firewalls, WAFs generally provide limited stateful analysis capabilities.
The licensing cost for AWS WAF is just pay-as-you-go; it is a service-based model.
Due to our status as an AWS shop, AWS WAF is cost-effective for us, and we benefit from discounts due to our extensive use of AWS services.
The biggest benefit of AWS WAF for us is to filter malicious requests, so we can protect our environment and application from malicious actors.
It has also helped to improve the posture of our application, prevent all DDoS attacks, and unnecessary traffic and SQL injection that is reducing the performance of our application.
The specific outcomes showing how AWS WAF has helped our organization include improving our security posture by reducing the attack surface and reducing malicious attacks.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
| Product | Mindshare (%) |
|---|---|
| AWS WAF | 3.9% |
| Gigamon Deep Observability Pipeline | 0.5% |
| Other | 95.6% |

| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 12 |
| Large Enterprise | 28 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
AWS WAF provides configurable rules, integration with AWS services, and scalable protection against web threats like SQL injections and DDoS attacks. Its automation and reliable performance are highly valued by users.
AWS WAF is a web application firewall offering significant security features like geo-restriction, custom rules, and IP filtering. Designed for seamless orchestration within AWS environments, it facilitates easy configuration and threat automation. Users benefit from its security policies, enhancing application performance by protecting against threats such as cross-site scripting. Despite its strengths, there is a call for enhanced user interfaces, better documentation, flexible pricing, and improved support. Expanding features like real-time analysis, bot protection, and AI integration can further elevate its utility.
What are the key features of AWS WAF?AWS WAF is extensively used in industries hosting applications on AWS, protecting sensitive data, and monitoring for unauthorized access. Custom and managed rules help cater to infrastructure needs, serving a vital role in maintaining application security across various sectors.
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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