graphqurl vs Humongous.io vs pganalyze

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graphqurl

13
27
+ 1
0
Humongous.io

7
14
+ 1
2
pganalyze

18
28
+ 1
0
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Pros of graphqurl
Pros of Humongous.io
Pros of pganalyze
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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 Humongous.io?

      HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed.

      What is pganalyze?

      The overview dashboard reveals which queries slow down your app, and during which times of the day your database performance suffers most. Log Insights and automated EXPLAIN plan insights give actionable advice on how to resolve issues.

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      What companies use graphqurl?
      What companies use Humongous.io?
      What companies use pganalyze?

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      What tools integrate with graphqurl?
      What tools integrate with Humongous.io?
      What tools integrate with pganalyze?

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      What are some alternatives to graphqurl, Humongous.io, and pganalyze?
      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.
      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.
      DataGrip
      A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
      DBeaver
      It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
      See all alternatives