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Spring Data vs Studio 3T: 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, Studio 3T is detailed as "The professional MongoDB GUI". It's the only MongoDB tool that provides three ways to explore data - Table, Tree, and JSON View - alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, multi-format import and export, SQL query support, and more.
Spring Data and Studio 3T 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, Studio 3T provides the following key features:
- IntelliShell - Autocomplete queries, from JavaScript standard library functions down to field names, with Studio 3T’s built-in mongo shell
- Visual Query Builder - Build queries by dragging and dropping fields with no mongo shell language required
- In-Place Data Editing - Edit data in real-time by double-clicking a field
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.
