Spring Data vs Pg_timetable: What are the differences?
Developers describe Spring Data as "Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond". 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. 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.
Spring Data and Pg_timetable can be primarily classified as "Database" tools.
Some of the features offered by Spring Data are:
- Powerful repository
- Custom object-mapping abstractions
- Dynamic query derivation
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
Spring Data is an open source tool with 62 GitHub stars and 65 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.