dbt vs Spring Data: What are the differences?
What is dbt? A command line tool that enables data analysts and engineers to transform data in their warehouse more effectively. dbt - Documentation.
What is 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.
dbt and Spring Data belong to "Database Tools" category of the tech stack.
Spring Data is an open source tool with 56 GitHub stars and 62 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.
Monkey Exchange, Hocelot, and apside are some of the popular companies that use Spring Data, whereas dbt is used by nurx, Trussle, and Flux Work. Spring Data has a broader approval, being mentioned in 10 company stacks & 10 developers stacks; compared to dbt, which is listed in 3 company stacks and 4 developer stacks.