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fake2db
fake2db

2
11
+ 1
0
Pg_timetable
Pg_timetable

0
6
+ 1
0
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fake2db vs Pg_timetable: What are the differences?

fake2db: Create test databases that are populated with fake data. Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb; 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.

fake2db and Pg_timetable can be categorized as "Database" tools.

fake2db is an open source tool with 2K GitHub stars and 108 GitHub forks. Here's a link to fake2db's open source repository on GitHub.

What is fake2db?

Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb.

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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              What are some alternatives to fake2db and Pg_timetable?
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              Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
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              PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
              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.
              Microsoft SQL Server Management Studio
              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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