Software Alternatives & Reviews

pganalyze Index Advisor for Postgres VS GraphQL Playground

Compare pganalyze Index Advisor for Postgres VS GraphQL Playground and see what are their differences

pganalyze Index Advisor for Postgres logo pganalyze Index Advisor for Postgres

The index advisor makes recommendations for creating the best indexes for your Postgres queries, based on the schema and table statistics information.

GraphQL Playground logo GraphQL Playground

GraphQL IDE for better development workflows
  • pganalyze Index Advisor for Postgres Landing page
    Landing page //
    2023-03-07
  • GraphQL Playground Landing page
    Landing page //
    2023-10-09

pganalyze Index Advisor for Postgres videos

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GraphQL Playground videos

Graphql playground review completa parte 1

More videos:

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

Category Popularity

0-100% (relative to pganalyze Index Advisor for Postgres and GraphQL Playground)
Developer Tools
15 15%
85% 85
Databases
100 100%
0% 0
GraphQL
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, GraphQL Playground seems to be more popular. 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.

pganalyze Index Advisor for Postgres mentions (0)

We have not tracked any mentions of pganalyze Index Advisor for Postgres yet. Tracking of pganalyze Index Advisor for Postgres recommendations started around Dec 2021.

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 / about 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
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What are some alternatives?

When comparing pganalyze Index Advisor for Postgres and GraphQL Playground, you can also consider the following products

SQL playground - Create a private PostgreSQL database with a predefined structure & test data in the shortest time.

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

Google Cloud PostgreSQL - Fully-managed database service

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

Supabase - An open source Firebase alternative

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