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.
$10,000
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
No
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).
Datadog is good, but more expensive. New Relic is good but does not provide the same features as Catchpoint does. Checkly is good, but Catchpoint offers different frameworks to create synthetic tests, which is preferable to my engineering team.
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.
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 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.
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
All other tools dont have all the features which Datadog provides. Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS Grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. …
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 …
I like the synthetic test feature it has from the edge which mimics the real user - that for me is one of the best features. The certificate expiration, the API monitoring, the slowness breakdown to show where the slowdown happens, and more.
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
Our standard operating material documents Catchpoint’s breadth on HTTP/Browser, API, Streaming, DNS, FTP, TCP, SMTP, Ping, Traceroute, SSH with content validation and custom widgets/dashboards. This gives SREs and L0/L1 a single place to validate both page flows and the underlying network/application protocols.
Product runbooks use Catchpoint to validate critical steps (for ex, login, overview dashboard, unit dashboards) and to detect DNS issues that break those journeys. so we catch experience regressions even when the backend looks healthy.
We’ve standardized Catchpoint alert categories/templates with ITSM so L0 includes the right analysis in handoffs. This tightened “first message, best message” during incidents.
Our operating procedures use Catchpoint for alwayson availability checks with email notifications and multi‑location verification when a site is down. This is useful for unambiguous “is it up/where is it failing” signals.
The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
Missing Functionality: For our organisation, we use multiple observability tools and what we miss in Catchpoint is its ability to display a list of muted monitors in the dashboard. This was a business requirement for our company where the business wanted to know at any given point of time, a list of monitors that were muted during an outage or a scheduled maintenance. This feature was unavailable in Catchpoint, however, we hope to see some enhancements in the future.
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
The Catchpoint tool has now become an integral part of our DevOps toolkit due to its extensive range of capabilities, including application performance monitoring, network health tracking, DNS visibility, and edge performance analysis. Its seamless integration with our existing monitoring infrastructure has significantly enhanced our ability to detect potential issues proactively, analyze root causes in real time, and resolve incidents much faster, ultimately improving overall system reliability and user experience.
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.
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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.
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
Catchpoint is not the only monitoring tool we use for our web properties. The test alerts raised by Catchpoint serves as a confirmation of possible outages/problems with an application. This has helped to reduce false-positive alerts thus improving the response of the operations team; they don't have spend time chasing ghosts
The unlimited scheduled tests we can run on the enterprise nodes has been a very cost effective solution compared to similar web monitoring tools
The ability to quickly dive into the test result details help to get to the root cause of a test failure quickly
