Chrome DevTools is a set of authoring, debugging, and profiling tools built into Google Chrome.
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Datadog
Score 8.6 out of 10
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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
Chrome DevTools
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
Chrome DevTools
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
—
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Chrome DevTools are great for troubleshooting bugs, broken elements on pages, styling issues, responsiveness, identifying performance issues, third-party connections for data privacy, reviewing cookies and local storage, screenshots in different dimensions. Chrome DevTools are for technical users, so you do need to have a decent understanding of some basics like HTML and CSS to get started using them.
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.
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.
As one delves into DevTools, one encounters a gradually steeper learning curve. You can do a lot very quickly, but to fully utilize DevTools takes time as one explores what it can do.
With many new updates, tools and items are moved, and a comfortable workflow becomes a frustrating search. This often happens when following only slightly outdated tutorials on a given feature, even in Google's own documentation.
The experimental flags, settings, and options are scattered about and a little clunky to configure when one has to make changes in multiple places.
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
While Chrome DevTools are very powerful, it's not the easiest thing to use, as there are so many different tools built in. It takes some exploring to discover all the options possible within DevTools, but with a little exploring, the DevTools become a very powerful asset. Accessing the basic HTML and CSS inspection is very easy though, and that's the most common usage for the DevTools.
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.
I'm not entirely sure what to rate the support for DevTools, because I don't have any experience dealing with official customer support for DevTools. I would guess the primary support for DevTools would be in a Chrome forum. Typically if I have a question or issue, I am able to find an answer from doing a quick Google search. It's pretty widely used, so it's not difficult to find answers.
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.
I find them pretty much the same, they have the same tools except Firefox doesn't provide the lighthouse functionality. I do prefer firefox's dark theme and colour palette. But I use Chrome Dev tools because of the Light house functionality that analyzes the page load and scores the website on desktop and mobile experience.
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.