Catchpoint is an Internet Resilience solution offering services for retailers, Global2000, CDNs, cloud service providers, and xSPs that help increase their resilience by catching any issues in the Intenet Stack before they impact their business.
$37,950
per year
Datadog
Score 8.6 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
Pricing
Catchpoint
Datadog
Editions & Modules
No answers on this topic
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Offerings
Pricing Offerings
Catchpoint
Datadog
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
- White glove migration services
- Annual subscription
- Professional Services
- Competitive Benchmarking
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
I feel Catchpoint's synthetic monitoring stacks up against them all and I personally feel more comfortable in creating our observability in Catchpoint. They have a detailed documentation for each keyword you come across in their portal that really helps a lot. And ofcourse, the …
Catchpoint stood out for its synthetic monitoring depth, real user insights, and internet/network performance monitoring, making it ideal for businesses reliant on global digital services.
Catchpoint is the trusted solution for monitoring our application. It provides an intuitive UI create monitoring screens for all of our rest endpoints and web UI. The email alerts send out by Catchpoint are so detailed and visually clear. We were able to figure out the time of …
Catchpoint was evaluated for its ease of build-and-go capabilities. The ability to segment based on [the] product and maintain secure monitoring were some of the initial take-ups.
One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
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.
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
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.
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
Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
I would appreciate more supportive examples for how to filter and view metrics in the explorer
I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
we are heavily dependent catchpoint system for the following functions * Detect end-user availability/performance-related problems * Ensures service level objectives (SLO) are met, that prevents service level agreement (SLA) breaches * Identify and understand the cause of any network connectivity or application level issue * Improves the availability and response time service levels
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.
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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.
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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.
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
The ROI has been very good with this product, we have seen multiple folds of time-saving by using this tool and preempting any risk associated with non-performant times of our server, hence increasing the team's capability to respond to certain downtime scenarios and the level of action that needs to be taken.
Catchpoint’s observability solution makes it easier to have global visibility of our website's performance and to fix issues quicker
I don't have any negatives, every good product comes with a cost, that is the fact but the Catchpoint tool has ultimately improved our ROI much beyond the changes that we pay
