Catchpoint vs. Zipy.ai

Proactive Website and API performance testing, Synthetic monitoring, and third-party integration are where Catchpoint is best suited. Catchpoint is less appropriate in Deep Application Performance monitoring, debugging complex user journeys in real-time, Small businesses, and Mobile app performance monitoring. These are the scenarios where I find Catchpoint is well-suited and scenarios where it is less appropriate.

Incentivized

• Catchpoint Synthetics: We create our synthetic monitoring using catchpoint. Creating the synthetics monitors are easy and requires basic knowledge on selenium and javascript. It allows you to run the test from external(backbone) and internal enterprise nodes. The screenshot and filmstrip feature is an add-on along with various customisations. Once created, It provides a detailed insight of each request that is involved in the application flow which helps us in addressing the issue at the request level.
• Catchpoint API Test: This is another kind of test which we have explored in our organisation. This has helped us to maintain the health check of our APIs and also we have utilised it for a variety of our use cases.
• Catchpoint Dashboard: This is our one-stop shop for all our monitors. It has multiple widgets that displays various application performance metrics. We use this feature immensely and it is of great value to the business.
• Catchpoint UI: It is very user friendly and with basic introduction anyone can just get started with it.

Incentivized

• The ability to monitor the Catchpoint nodes with the ability to setup a take a recovery action based on specific criteria
• The ability to tell us when we are at X% capacity so that we better plan or budget for increasing the "capacity" of the Catchpoint nodes before we get to an overloaded state. The capacity utilization graph is not a reliable indicator for this metric. How can the capacity utilization rate get above 100%, it does not make sense

Incentivized

It’s a good solution, which I am using for many different reasons and it demonstrates enough potential to allow me to detect internet routing issues, ISP issues, regional outages before they impact my solutions, giving me the tools that I need to provide the best service that I can to my clients.

Incentivized

It's hard to find the functionalities that I am looking for in the application. Even if I did something in the past, after a time I have to re-learn again where the functionalities are. This is a powerful tool, but not user-friendly. Texts in the buttons and menus are not always meaningful or easily comprehensible.

Incentivized

The customer support is fantastic as they keep you updated and follow up even though we may not even follow up. Make sure they send a communication so that we remain updated. They value engineers who will get on a call with you to understand any requirement we have on any test, and they bring in the best developers on call.

Incentivized

very easy to implement as the product is user-friendly

Incentivized

Smart Bear Foglight Dynatrace CEM Catchpoint: I have used many synthetic monitoring products. Honestly, there are no big differences in features among all the products listed above or that I have used before. Probably, price and support might play big roles in selecting the products. I do not know the prices of these products.

Incentivized

• Catchpoint points based licensing for public hosted nodes is complicated and unpredictable in points required.
• Catchpoint lacks AI powered anomaly detection and automated remediation. This gap means more manual triage and slower MTTR during incidents.
• The advanced 360 degree blackbox monitoring is enabling us to monitor the APIs, UI and proactively gain insights into the application behavior and performance before customer is impacted.

Incentivized