Need advice about which tool to choose?Ask the StackShare community!

Datasette

0
11
+ 1
0
GraphiQL

130
128
+ 1
10
Add tool

Datasette vs GraphiQL: What are the differences?

Developers describe Datasette as "An instant JSON API for your SQLite databases". Provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers. On the other hand, GraphiQL is detailed as "An in-browser IDE for exploring GraphQL". An in-browser IDE for exploring GraphQL.

Datasette and GraphiQL belong to "Database Tools" category of the tech stack.

Datasette and GraphiQL are both open source tools. It seems that GraphiQL with 8.67K GitHub stars and 845 forks on GitHub has more adoption than Datasette with 2.53K GitHub stars and 146 GitHub forks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Datasette
Pros of GraphiQL
    Be the first to leave a pro
    • 4
      Install by npm
    • 4
      In-browser IDE
    • 1
      Graphql
    • 1
      Editor Theme

    Sign up to add or upvote prosMake informed product decisions

    What is Datasette?

    Provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers.

    What is GraphiQL?

    An in-browser IDE for exploring GraphQL.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Datasette?
    What companies use GraphiQL?
      No companies found
      See which teams inside your own company are using Datasette or GraphiQL.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Datasette?
      What tools integrate with GraphiQL?
      What are some alternatives to Datasette and GraphiQL?
      Slick
      It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
      Spring Data
      It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
      Microsoft SQL Server Management Studio
      It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
      DataGrip
      A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
      PostGIS
      PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
      See all alternatives