Airpal vs Spring Data: What are the differences?
Developers describe Airpal as "Web UI for PrestoDB, by Airbnb". A web-based query execution tool built on top of Facebook's PrestoDB. On the other hand, Spring Data is detailed 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.
Airpal and Spring Data can be categorized as "Database" tools.
Some of the features offered by Airpal are:
- Optional Access Control
- Syntax highlighting
- Results exported to a CSV for download or a Hive table
On the other hand, Spring Data provides the following key features:
- Powerful repository
- Custom object-mapping abstractions
- Dynamic query derivation
Airpal and Spring Data are both open source tools. It seems that Airpal with 2.54K GitHub stars and 437 forks on GitHub has more adoption than Spring Data with 56 GitHub stars and 62 GitHub forks.