Spring Data vs QueryPie: 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, QueryPie is detailed as "A cross-platform end-to-end data analytics & visualization tool". It is the simplest way to work with Data Analytics & Visualization. It is a multi-database SQL IDE with a fresh design, optimized for Windows, Mac, and Linux Developed with easy and intuitive UI/UX, it has collaborative features that allow users to safely work on data and use database tools that make writing SQL enjoyable. Share access information and set permission levels for extra security, .

Spring Data and QueryPie belong to "Database Tools" category of the tech stack.

Some of the features offered by Spring Data are:

• Powerful repository
• Custom object-mapping abstractions
• Dynamic query derivation

On the other hand, QueryPie provides the following key features:

• Auto-complete
• SQL History
• SSL & SSH Tunneling

Spring Data is an open source tool with 64 GitHub stars and 66 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.