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

QueryDSL vs Slashbase

OverviewComparisonAlternatives

Overview

QueryDSL
QueryDSL
Stacks151
Followers90
Votes0
GitHub Stars4.9K
Forks876
Slashbase
Slashbase
Stacks0
Followers4
Votes0

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CLI (Node.js)
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Detailed Comparison

QueryDSL
QueryDSL
Slashbase
Slashbase

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

It is an open-source collaborative IDE for your databases. Connect to your database, browse data, run a bunch of SQL commands or share SQL queries with your team, right from your browser.

Working with raw SQL; Non-persistent collections; NoSQL databases; Full-text search
Open-source; Cloud based; Collaborative; Easy to use; Works with PostgreSQL and MongoDB
Statistics
GitHub Stars
4.9K
GitHub Stars
-
GitHub Forks
876
GitHub Forks
-
Stacks
151
Stacks
0
Followers
90
Followers
4
Votes
0
Votes
0
Integrations
Gradle
Gradle
Java
Java
MongoDB
MongoDB
Spring
Spring
Eclipse
Eclipse
MongoDB
MongoDB
PostgreSQL
PostgreSQL

What are some alternatives to QueryDSL, Slashbase?

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.

Red Hat Codeready Workspaces

Red Hat Codeready Workspaces

Built on the open Eclipse Che project, Red Hat CodeReady Workspaces provides developer workspaces, which include all the tools and the dependencies that are needed to code, build, test, run, and debug applications.

AWS Cloud9

AWS Cloud9

Cloud9 provides a development environment in the cloud. Cloud9 enables developers to get started with coding immediately with pre-setup environments called workspaces, collaborate with their peers with collaborative coding features, and build web apps with features like live preview and browser compatibility testing. It supports more than 40 languages, with class A support for PHP, Ruby, Python, JavaScript/Node.js, and Go.

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.

Koding

Koding

Koding is a feature rich cloud-based development environment complete with free VMs, an attractive IDE & sudo level terminal access!

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.

Nitrous.IO

Nitrous.IO

Get setup lightning fast in the cloud & code from anywhere, on any machine.

Codeanywhere

Codeanywhere

A development platform that enables you to not only edit your files from underlying services like FTP, GitHub, Dropbox and the like, but on top of that gives you the ability to collaborate, embed and share through Codeanywhere on any device.

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.

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