Overview
ProductRatingMost Used ByProduct SummaryStarting Price
BugSnag
Score 8.0 out of 10
N/A
Bugsnag is an application health and error tracking application, now from Smartbear since the April 2021 acquisition, for monitoring web application stability, and alerting developers to app issues and error-rate in real-time.
$65
per month per user
Datadog
Score 8.7 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
BugSnagDatadog
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
BugSnagDatadog
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
BugSnagDatadog
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User Ratings
BugSnagDatadog
Likelihood to Recommend
10.0
(1 ratings)
9.4
(55 ratings)
Usability
-
(0 ratings)
9.2
(34 ratings)
Support Rating
-
(0 ratings)
8.9
(6 ratings)
User Testimonials
BugSnagDatadog
Likelihood to Recommend
SmartBear
It's great for tracking bugs on your app. I don't think I can do anything else besides that...
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Datadog
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.
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Pros
SmartBear
  • The UI/UX is well designed. I have never been confused by any buttons/filters/settings, and everything is laid out in a neat and organized fashion.
  • Setup was super easy. I didn't have to do anything but read the documentation, which was well written.
  • The information captured by errors has everything I would need to debug an issue.
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Datadog
  • 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.
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Cons
SmartBear
  • For really long bugs, it'd be nice if you hovered over the row and it expanded the text so you didn't have to click on the actual bug to view everything.
  • It would be nice if there was a filter for grouping bugs instead of searching by their name.
  • Honestly nothing else, I love 99% of Bugsnag.
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Datadog
  • 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
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Likelihood to Renew
SmartBear
No answers on this topic
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
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Usability
SmartBear
No answers on this topic
Datadog
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.
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Support Rating
SmartBear
No answers on this topic
Datadog
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.
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Implementation Rating
SmartBear
No answers on this topic
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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Alternatives Considered
SmartBear
No answers on this topic
Datadog
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.
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Return on Investment
SmartBear
  • It has caught bugs on the spot, which allows us to quickly fix them.
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Datadog
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.