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

Master Data Services vs QueryDSL

OverviewComparisonAlternatives

Overview

QueryDSL
QueryDSL
Stacks151
Followers90
Votes0
GitHub Stars4.9K
Forks876
Master Data Services
Master Data Services
Stacks4
Followers12
Votes0

QueryDSL vs Master Data Services: What are the differences?

Developers describe QueryDSL as "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. On the other hand, Master Data Services is detailed as "Manage a master set of your organization's data". It enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.

QueryDSL and Master Data Services are primarily classified as "Java" and "Database" tools respectively.

Some of the features offered by QueryDSL are:

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

On the other hand, Master Data Services provides the following key features:

  • Excel add-in
  • Models
  • Entities

QueryDSL is an open source tool with 2.91K GitHub stars and 643 GitHub forks. Here's a link to QueryDSL's open source repository on GitHub.

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Detailed Comparison

QueryDSL
QueryDSL
Master Data Services
Master Data Services

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 enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.

Working with raw SQL; Non-persistent collections; NoSQL databases; Full-text search
Excel add-in; Models; Entities; Domain based attributes
Statistics
GitHub Stars
4.9K
GitHub Stars
-
GitHub Forks
876
GitHub Forks
-
Stacks
151
Stacks
4
Followers
90
Followers
12
Votes
0
Votes
0
Integrations
Gradle
Gradle
Java
Java
MongoDB
MongoDB
Spring
Spring
Eclipse
Eclipse
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to QueryDSL, Master Data Services?

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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