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Administrate
Administrate

33
45
+ 1
0
Pg_timetable
Pg_timetable

0
6
+ 1
0
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Administrate vs Pg_timetable: What are the differences?

What is Administrate? Rails framework for creating flexible admin dashboards, by thoughtbot. Administrate is heavily inspired by projects like Rails Admin and ActiveAdmin, but aims to provide a better user experience for site admins, and to be easier for developers to customize.

What is Pg_timetable? PostgreSQL Job Scheduling. It is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.

Administrate and Pg_timetable belong to "Database Tools" category of the tech stack.

Some of the features offered by Administrate are:

  • No DSLs (domain-specific languages)
  • Support the simplest use cases, and let the user override defaults with standard tools such as plain Rails controllers and views.
  • Break up the library into core components and plugins, so each component stays small and easy to maintain.

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

  • Tasks can be arranged in chains
  • A chain can consist of SQL and executables
  • Parameters can be passed to chains

Administrate is an open source tool with 4.64K GitHub stars and 832 GitHub forks. Here's a link to Administrate's open source repository on GitHub.

What is Administrate?

Administrate is heavily inspired by projects like Rails Admin and ActiveAdmin, but aims to provide a better user experience for site admins, and to be easier for developers to customize.

What is Pg_timetable?

It is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.
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            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.
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