graphqurl vs Postico vs TablePlus

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graphqurl

13
27
+ 1
0
Postico

70
101
+ 1
12
TablePlus

174
278
+ 1
11
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Pros of graphqurl
Pros of Postico
Pros of TablePlus
    Be the first to leave a pro
    • 4
      Very clean, respectable interface
    • 3
      Really modern client
    • 3
      Reliable and easy to use
    • 2
      Increases productivity
    • 5
      Great tool, sleek UI, run fast and secure connections
    • 3
      Free
    • 2
      Perfect for develop use
    • 1
      Security

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    - No public GitHub repository available -

    What is graphqurl?

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

    What is Postico?

    Postico provides an easy to use interface, making Postgres more accessible for newcomers and specialists alike. Postico will look familiar to anyone who has used a Mac before. Just connect to a database and begin working with tables and views. Start with the basics and learn about advanced features of PostgreSQL as you go along.

    What is TablePlus?

    TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.

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    What companies use graphqurl?
    What companies use Postico?
    What companies use TablePlus?

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    What tools integrate with graphqurl?
    What tools integrate with Postico?
    What tools integrate with TablePlus?

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    What are some alternatives to graphqurl, Postico, and TablePlus?
    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.
    See all alternatives