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Pg_timetable
Pg_timetable

0
6
+ 1
0
pgweb
pgweb

3
9
+ 1
0
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pgweb vs Pg_timetable: What are the differences?

Developers describe pgweb as "Web-based PostgreSQL database browser written in Go". This is a web-based browser for PostgreSQL database server. Its written in Go and works on Mac OSX, Linux and Windows machines. Main idea behind using Go for the backend is to utilize language's ability for cross-compile source code for multiple platforms. This project is an attempt to create a very simple and portable application to work with PostgreSQL databases. On the other hand, Pg_timetable is detailed as "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.

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

Some of the features offered by pgweb are:

  • Connect to local or remote server
  • Browse tables and table rows
  • Get table details: structure, size, indices, row count

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

pgweb is an open source tool with 6.26K GitHub stars and 446 GitHub forks. Here's a link to pgweb's open source repository on GitHub.

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.

What is pgweb?

This is a web-based browser for PostgreSQL database server. Its written in Go and works on Mac OSX, Linux and Windows machines. Main idea behind using Go for the backend is to utilize language's ability for cross-compile source code for multiple platforms. This project is an attempt to create a very simple and portable application to work with PostgreSQL databases.
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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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