Objectify vs JDSP: What are the differences?
Objectify: Java data access API specifically designed for the Google Cloud Datastore. It is a Java data access API specifically designed for the Google Cloud Datastore. It occupies a "middle ground"; easier to use and more transparent than JDO or JPA, but significantly more convenient than the low-level API libraries that Google provides. Objectify is designed to make novices immediately productive yet also expose the full power of the Datastore; JDSP: A Java Library for Digital Signal Processing. It is a library of digital signal processing tools written in Java aimed at providing functionalities as available in scipy-signal package for Python. The goal is to provide easy-to-use APIs for performing complex operation on signals eliminating the necessity of understanding the low-level complexities in the processing pipeline.
Objectify and JDSP are primarily classified as "Database" and "Java" tools respectively.
Some of the features offered by Objectify are:
- Lets you persist, retrieve, delete, and query your own typed objects
- Surfaces all native datastore features, including batch operations, queries, transactions, asynchronous operations, and partial indexes
- Provides type-safe key and query classes using Java generics
On the other hand, JDSP provides the following key features:
- Frequency-based Filters
- Kernel-based Filters
- Fourier Transform
Objectify is an open source tool with 688 GitHub stars and 153 GitHub forks. Here's a link to Objectify's open source repository on GitHub.