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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. JDSP vs QueryDSL

JDSP vs QueryDSL

OverviewComparisonAlternatives

Overview

QueryDSL
QueryDSL
Stacks151
Followers90
Votes0
GitHub Stars4.9K
Forks876
JDSP
JDSP
Stacks1
Followers2
Votes0
GitHub Stars288
Forks44

QueryDSL vs JDSP: What are the differences?

QueryDSL: Unified queries for Java. It is an extensive Java framework, which allows for the generation of type-safe queries in a syntax similar to SQL. It currently has a wide range of support for various backends through the use of separate modules including JPA, JDO, SQL, Java collections, RDF, Lucene, Hibernate Search, and MongoDB; 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.

QueryDSL and JDSP can be categorized as "Java" tools.

Some of the features offered by QueryDSL are:

  • Working with raw SQL
  • Non-persistent collections
  • NoSQL databases

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

  • Frequency-based Filters
  • Kernel-based Filters
  • Fourier Transform

QueryDSL is an open source tool with 2.87K GitHub stars and 637 GitHub forks. Here's a link to QueryDSL's open source repository on GitHub.

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Detailed Comparison

QueryDSL
QueryDSL
JDSP
JDSP

It is an extensive Java framework, which allows for the generation of type-safe queries in a syntax similar to SQL. It currently has a wide range of support for various backends through the use of separate modules including JPA, JDO, SQL, Java collections, RDF, Lucene, Hibernate Search, and MongoDB

JDSP is a library of digital signal processing tools written in Java aimed at providing functionalities as available in scipy-signal package for Python.

Working with raw SQL; Non-persistent collections; NoSQL databases; Full-text search
Frequency-based Filters; Kernel-based Filters; Fourier Transform; Hilbert Transform; PCA; Pre-Processing Tools; Peak and Spike Detection; Signal Generation; Matlab-style Plotting; Java equivalent of many Numpy helper functions
Statistics
GitHub Stars
4.9K
GitHub Stars
288
GitHub Forks
876
GitHub Forks
44
Stacks
151
Stacks
1
Followers
90
Followers
2
Votes
0
Votes
0
Integrations
Gradle
Gradle
Java
Java
MongoDB
MongoDB
Spring
Spring
Eclipse
Eclipse
Java
Java

What are some alternatives to QueryDSL, JDSP?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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