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
F5 Beacon
Score 9.7 out of 10
N/A
F5 Beacon an open source tool used to gain full visibility across an application landscape, obtain app insights and business intelligence, and make better-informed decisions. With the Beacon Insight Engine, users can leverage pre-built insights or create custom insights. Beacon also integrates with many types of deployments across hybrid and multi-cloud environments—and provides a set of app stats in a simple SaaS model.
$0
Pricing
Datadog
F5 Beacon
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
Datadog
F5 Beacon
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
F5 Beacon is best for F5-centric, hybrid, app-centric visibility, whereas Datadog is best for cloud-native, distributed observability. F5 beacon is superior for understanding BIG-IP flows, WAF, ADC behavior at the app level. It has a unified view of F5-powered applications. F5 …
Features
Datadog
F5 Beacon
Application Performance Management
Comparison of Application Performance Management features of Product A and Product B
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.
It is very well suited in complex, multi-cloud application environments where it provides holistic, application-centric visibility by ingesting data from NGINX and other telemetry sources. It helps troubleshoot performance issues in high-availability and regulated environments where outages have a high impact on strict SLAs. It is less appropriate in situations where organizations rely on unmaintained or archived integrations.
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.
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
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 reason for the above rating is that F5 Beacon delivers clear visibility, helpful insights, and streamlined decision-making, which, in turn, translates into a better user experience. Beacon easily ingests telemetry from multiple sources, including NGINX, BIG-IP devices, and third-party platforms. The Beacon insight engine generates actionable recommendations and performs anomaly detection.
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.
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.
F5 Beacon is best for F5-centric, hybrid, app-centric visibility, whereas Datadog is best for cloud-native, distributed observability. F5 beacon is superior for understanding BIG-IP flows, WAF, ADC behavior at the app level. It has a unified view of F5-powered applications. F5 Beacon simplifies troubleshooting across multicloud F5 deployments. Beacon provides business logic level visibility.