

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.
There has been a significant reduction in major incidents observed due to the proactive alerting Catchpoint provides.
We used to spend at least 30 to 40 minutes on average on a call to detect what the problem was, but that reduced drastically to around 16 to 18 minutes.
We have seen considerable returns on investment with Catchpoint, saving both money and employee time while reducing penalties from clients due to fewer outages during network deployments.
The initial migration and the initial days of monitoring Catchpoint involved having a dedicated TAM and a dedicated support number that could give us quick answers.
They would literally write Playwright for you if you cannot get the element right.
The customer support for Catchpoint is really good; they get you on the call and will assist you if you are mixed up or blocked with some kind of coding.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
The migration part, especially onboarding a new application for monitoring, is seamless and does not require a lot of our effort and analysis.
Updating the license for the number of users is easy to do in Catchpoint.
We have not faced any issues regarding scalability.
Catchpoint is stable.
This is one area where I would like to see improvement in the tool because many applications nowadays use multi-factor authentication, and Catchpoint does lag a bit in providing the end-to-end synthetic observability for applications dependent on MFA.
If we could receive similar data for the China market as we do for North America and Asia Pacific, this would be helpful.
There is no auto-tuning for alerts, so auto-tuning features for alerts would be beneficial.
My experience with pricing, setup cost, and licensing is that the pricing is good, and the licensing is also good.
There is always a need to negotiate a bit more to get the best cost for the licenses we plan to buy.
you just need to buy the licenses, and the team sends you the license keys, which is pretty easy.
Catchpoint helps us detect issues before anybody could report them, which can impact clients because it provides prior monitoring that also sees outside the infrastructure.
Out of those features, the hop-by-hop breakdown of BGP peers is the one that made the biggest difference in my work because I have not seen this feature in others.
The alerting functionality in Catchpoint provides value. We configure thresholds for response times and failures so that our operations team could be notified whenever authentication failed, APIs became unavailable, or page performance degraded beyond acceptable limits.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
| Product | Mindshare (%) |
|---|---|
| Catchpoint | 0.9% |
| Gigamon Deep Observability Pipeline | 0.7% |
| Other | 98.4% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
Catchpoint is a robust monitoring solution offering synthetic and real user monitoring, network performance analysis, and root cause identification. It enhances response times, reduces downtime, and improves user experience through advanced features and support.
Catchpoint provides comprehensive monitoring capabilities that ensure application availability and improve user experience. By delivering synthetic and real user monitoring, API tracking, and cloud network performance insights, it enables companies to diagnose issues, maintain service reliability, and anticipate problems. Organizations can effectively simulate user actions, monitor endpoints, and obtain actionable insights for diverse applications and websites, supporting seamless digital transactions.
What are the key features of Catchpoint?Catchpoint is implemented across industries for proactive performance monitoring, ensuring digital platform reliability and superior user experience. Its tools enable companies to track application availability and network performance, utilizing global coverage to deliver crucial insights for decision-making processes.
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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