Spring Data vs Sequel: What are the differences?

Spring Data: 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; Sequel: The database toolkit for Ruby. It is a simple, flexible, and powerful SQL database access toolkit for Ruby. It includes a comprehensive ORM layer for mapping records to Ruby objects and handling associated records.

Spring Data and Sequel can be categorized 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, Sequel provides the following key features:

• Provides thread safety, connection pooling and a concise DSL for constructing SQL queries and table schemas.
• Supports advanced database features such as prepared statements, bound variables, stored procedures, savepoints, two-phase commit, transaction isolation, primary/replica configurations, and database sharding
• Includes a comprehensive ORM layer for mapping records to Ruby objects and handling associated records

Spring Data and Sequel are both open source tools. It seems that Sequel with 4.06K GitHub stars and 890 forks on GitHub has more adoption than Spring Data with 58 GitHub stars and 63 GitHub forks.