Spring Data vs Valentina Studio: 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, Valentina Studio is detailed as "Data management tool for database administrators". It includes a wealth of database administration tools. Go PRO to unlock advanced data modeling tools, report design and editing and more.
Spring Data and Valentina Studio 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, Valentina Studio provides the following key features:
- Provides CS based database management
- It supports four types of “servers”: MySQL, PostgreSQL, Valentina and ODBC
- Supports files based database management
Spring Data is an open source tool with 58 GitHub stars and 62 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.