

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
APICa is scalable.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
| Product | Mindshare (%) |
|---|---|
| Apica | 0.7% |
| Gigamon Deep Observability Pipeline | 0.6% |
| Other | 98.7% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
Apica leads in observability cost optimization, empowering IT teams to control telemetry data economics. Apica Ascent spans metrics, logs, traces, and events, reducing observability costs by 40% compared to traditional solutions.
Apica provides unrivaled flexibility, supporting any data lake with both on-premises and cloud deployment options, eliminating costly tool sprawl through modular solutions. Ascent efficiently handles high-cardinality data and boasts patented InstaStore optimized storage technology and advanced root cause analysis capabilities. Many organizations choose Apica to drive down observability expenses.
What are Apica's key features?Apica is employed across industries for monitoring and synthetic user emulation, providing external visibility into user experiences with applications. It supports infrastructure checks, proactive error detection, synthetic logins, load testing, and performance monitoring. Organizations leverage its capabilities for error checks, geo-protection, and content validation, ensuring IT service and web operation availability and performance globally.
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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