Software Alternatives & Reviews

Datadog VS Random User Generator

Compare Datadog VS Random User Generator and see what are their differences

Datadog logo Datadog

See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Random User Generator logo Random User Generator

Like Lorem Ipsum, but for people.
  • Datadog Landing page
    Landing page //
    2023-10-05

Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.

  • Random User Generator Landing page
    Landing page //
    2019-07-11

Datadog

$ Details
freemium $15.0 / Monthly (per host)
Platforms
Browser REST API

Random User Generator

Pricing URL
-
$ Details
Platforms
-

Datadog videos

Datadog Review & Walkthrough

More videos:

  • Review - DataDog: What it is and where its going
  • Review - Datadog: 2-Minute Tour

Random User Generator videos

In bubble.io Random User Generator API verwenden

More videos:

  • Review - 30 Days of React - Day Twelve - "Random User Generator" - with randomuser.me API

Category Popularity

0-100% (relative to Datadog and Random User Generator)
Monitoring Tools
100 100%
0% 0
Web App
0 0%
100% 100
Log Management
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Datadog and Random User Generator

Datadog Reviews

Top 10 Grafana Alternatives in 2024
While all Grafana alternatives do not offer pricing transparency, go for a flexible pricing structure that fits your budget. Tools like Datadog offer pricing based on data volume or monitoring scope, while Middleware offers a flexible pay-as-you-go pricing structure.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Open Source vs. Proprietary: Determine whether an open-source solution like SigNoz or a proprietary one like Datadog better aligns with your requirements and budget. Open-source tools often offer more customization and community support, while proprietary tools may provide more comprehensive out-of-the-box features and dedicated customer service. At SigNoz, we offer both...
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
Datadog is a massive tool that offers a lot of features and solutions, including log management. But before we dive too deep, please note that Datadog is expensive. It absolutely is not for anyone other than large-budgeted corporations. Just take a look at what people are saying on X.
Source: sematext.com
5 Best DevSecOps Tools in 2023
There are many platforms that can be utilized for monitoring and alerting. Some examples are New Relic, Datadog, AWS CloudWatch, Sentry, Dynatrace, and others. Again, these providers each have pros and cons related to pricing, offering, ad vendor lock-in. So research the options to see what may possibly be best for a given situation.
Best API Monitoring and Observability Tools in 2023
Datadog’s API monitoring lets you automate site availability monitoring and reduce average time it takes to get to the cause. It also allows you to validate all the layers of your systems (from HTTP to DNS) from multiple geolocations, letting you focus on areas that are vital to your business by creating custom locations.
Source: apitoolkit.io

Random User Generator Reviews

We have no reviews of Random User Generator yet.
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Social recommendations and mentions

Based on our record, Random User Generator should be more popular than Datadog. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datadog mentions (5)

  • Send the logs of your Shuttle-powered backend to Datadog
    Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 7 months ago
  • I wanted a self hosted alternative to Atlassian status page so I build my own application !
    Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
  • Datadog on Kubernetes: Avoiding Common Pitfalls
    Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
  • Post-DockerCon spam
    .. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: almost 3 years ago
  • Never write a UserService again
    We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 3 years ago

Random User Generator mentions (31)

  • Everyone Wants Your Email Address. Think Twice Before Sharing It
    Currently I use Fastmail to host my own domain, and then for every new service I save the account in 1Password using service@service.mydomain.com It's a bit extreme, but surprisingly little extra effort. That said, most of the accounts I create are throwaway. For phone numbers I have an old, unused Google voice number I give out. It's a real number, but never checked, except for once every 90? days, to keep it... - Source: Hacker News / 3 months ago
  • Introduction to TypeScript with React
    Import axios from 'axios'; Import { FC, useState } from 'react'; Import { AppProps, Users } from './App.types'; Import User from './components/User'; Const App: FC = ({ title }) => { const [users, setUsers] = useState([]); const [isLoading, setIsLoading] = useState(false); // useEffect(() => { // const getUsers = async () => { // try { // setIsLoading(true); ... - Source: dev.to / 5 months ago
  • A Comprehensive Guide to APIs and the Fetch API
    Fetch("https://randomuser.me/api/") .then(response=>{ if(!response.ok){ throw new Error("Failed") } return response.json() }) .then(data => console.log(data)) .catch(error => alert(error)). - Source: dev.to / 9 months ago
  • Random User Generator (first project on crate.io!)
    I just released the first version of random_user, a convenient generator of random user. It simply use the great api from https://randomuser.me/, with reqwest. Source: 10 months ago
  • Expanding Onto A Pre-existing API with additional features?
    Hello, I'd like to make a React Native application using the RandomUser API. I want to make a simple app that takes the data from RandomUser and displays it as a list of people to hire for different jobs. On top of the current API, I want to add a property for categories each person will work in. Something like:. Source: over 1 year ago
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What are some alternatives?

When comparing Datadog and Random User Generator, you can also consider the following products

Zabbix - Track, record, alert and visualize performance and availability of IT resources

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Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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