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graphqurl

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Skor

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graphqurl vs Skor: What are the differences?

What is graphqurl? Curl for GraphQL with autocomplete, subscriptions and GraphiQL. Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.

What is Skor? Listen to Postgres events and forward them as JSON payloads to a webhook. skor is a utility for Postgres which calls a webhook with row changes as JSON whenever an INSERT, UPDATE or DELETE event occurs on a particular table. You can drop the docker image next to your Postgres database instance and configure a webhook that will be called.

graphqurl and Skor can be categorized as "Database" tools.

Some of the features offered by graphqurl are:

  • CLI for making GraphQL queries with autocomplete
  • Run GraphiQL locally against any endpoint
  • Use as a library with Node.js or from the browser

On the other hand, Skor provides the following key features:

  • When you want to trigger an action in an external application when a table row is modified.
  • When you want a lightweight notification system for changes in the database.
  • When you want to send the changes to a message queue such as AMQP, Kafka etc.

graphqurl is an open source tool with 1.86K GitHub stars and 41 GitHub forks. Here's a link to graphqurl's open source repository on GitHub.

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What is graphqurl?

Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.

What is Skor?

skor is a utility for Postgres which calls a webhook with row changes as JSON whenever an INSERT, UPDATE or DELETE event occurs on a particular table. You can drop the docker image next to your Postgres database instance and configure a webhook that will be called.

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    What tools integrate with graphqurl?
    What tools integrate with Skor?
    What are some alternatives to graphqurl and Skor?
    GraphQL
    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
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