Software Alternatives, Accelerators & Startups

GraphQL Playground VS Datadog

Compare GraphQL Playground VS Datadog and see what are their differences

GraphQL Playground logo GraphQL Playground

GraphQL IDE for better development workflows

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.
  • GraphQL Playground Landing page
    Landing page //
    2023-10-09
  • 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.

GraphQL Playground videos

Graphql playground review completa parte 1

More videos:

  • Review - Create Local GraphQL Playground
  • Review - Graphql playground review completa parte 2

Datadog videos

Datadog Review & Walkthrough

More videos:

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

Category Popularity

0-100% (relative to GraphQL Playground and Datadog)
GraphQL
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Realtime Backend / API
100 100%
0% 0
Log Management
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 GraphQL Playground and Datadog

GraphQL Playground Reviews

We have no reviews of GraphQL Playground yet.
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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

Social recommendations and mentions

Based on our record, GraphQL Playground should be more popular than Datadog. It has been mentiond 11 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.

GraphQL Playground mentions (11)

  • Exploring GraphiQL 2 Updates and New Features
    GraphiQL is a tool that was created to help developers explore GraphQL APIs, maintained by the GraphQL Foundation. But when GraphiQL became more and more popular, developers started to create additional GraphQL IDEs. A good example of this was GraphQL Playground, which quickly became the most popular GraphQL IDE. It was loosely based on GraphiQL, but had more features and a better UI. - Source: dev.to / over 1 year ago
  • Why Is It So Important To Go To Meetups
    I went to a GraphQL meetup and they used the gql playground and a similar schema generator to what I was using, and it made me feel relevant. - Source: dev.to / about 2 years ago
  • GraphQL subscriptions at scale with NATS
    Here, we'll create a simple GraphQL server and subscribe to a subject from our resolver. We'll use GraphQL playground to mock client side behavior. Once we're connected we'll use NATS CLI to send a payload to our subject and see the changes on the client. - Source: dev.to / over 2 years ago
  • GraphQL vs REST in .NET Core
    Now we can consume created GraphQL API. In the GitHub Repo same functionality has been added with REST approach and GraphQL endpoint. Also widely used Swagger configured for Web API Endpoints as well as AltairUI added for GraphQL endpoint testing. Naturally, AltairUI it not a must for GraphQL, you can also use Swagger, GraphiQL, or GraphQL Playground. - Source: dev.to / over 2 years ago
  • Creating GraphQL Api Using NestJS For Multiple Databases
    Navigate to http://localhost:3000/graphql. NestJS uses graphql playground by default. It's a lovely GraphQL IDE. We can check our schema here. - Source: dev.to / over 2 years ago
View more

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 / 9 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: about 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 / over 3 years ago

What are some alternatives?

When comparing GraphQL Playground and Datadog, you can also consider the following products

GraphQl Editor - Editor for GraphQL that lets you draw GraphQL schemas using visual nodes

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

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

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

Stellate.co - Everything you need to run your GraphQL API at scale

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.