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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. DBeaver vs Spring Data

DBeaver vs Spring Data

OverviewDecisionsComparisonAlternatives

Overview

DBeaver
DBeaver
Stacks555
Followers731
Votes67
GitHub Stars46.0K
Forks3.9K
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

DBeaver vs Spring Data: What are the differences?

Introduction

In this markdown, we will discuss the key differences between DBeaver and Spring Data.

  1. User Interface: DBeaver is a universal database tool with a graphical user interface that allows users to easily interact with different types of databases, whereas Spring Data is a framework that simplifies the development of database access layers in Java applications by providing a way to work with databases using a unified API.

  2. Functionality: DBeaver primarily focuses on database management tasks such as viewing schemas, executing SQL queries, managing connections, and generating reports, while Spring Data is more focused on providing a consistent and easy-to-use programming model for data access scenarios, including object-relational mapping, data querying, and transaction management.

  3. Integration: DBeaver provides a standalone application for database management that can be installed on the user's machine, while Spring Data is typically integrated into Spring-based applications to provide data access functionality within the application context itself.

  4. Supported Databases: DBeaver supports a wide range of relational and non-relational databases, including MySQL, PostgreSQL, Oracle, MongoDB, and more, whereas Spring Data primarily focuses on providing support for popular relational databases such as MySQL, PostgreSQL, SQL Server, and others, with some support for NoSQL databases as well.

  5. Community and Support: DBeaver has a dedicated community of users and contributors who actively contribute to the project, provide support, and release frequent updates, while Spring Data benefits from the strong community backing of the Spring Framework, which offers comprehensive documentation, tutorials, and forums for users to get help and contribute to the project.

  6. Use Cases: DBeaver is well-suited for database administrators, developers, and data analysts who need a powerful tool for managing and querying databases, while Spring Data is more geared towards Java developers who want to streamline their data access logic and work with databases in a more efficient and consistent manner within their Spring applications.

In Summary, the key differences between DBeaver and Spring Data lie in their user interface, functionality, integration, supported databases, community support, and target use cases.

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Advice on DBeaver, Spring Data

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments

Detailed Comparison

DBeaver
DBeaver
Spring Data
Spring Data

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.

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.

-
Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Statistics
GitHub Stars
46.0K
GitHub Stars
95
GitHub Forks
3.9K
GitHub Forks
84
Stacks
555
Stacks
883
Followers
731
Followers
408
Votes
67
Votes
0
Pros & Cons
Pros
  • 22
    Free
  • 13
    Platform independent
  • 9
    Automatic driver download
  • 7
    Import-Export Data
  • 6
    Simple to use
No community feedback yet
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Presto
Presto
MariaDB
MariaDB
Java
Java
Apache Hive
Apache Hive
Microsoft SQL Server
Microsoft SQL Server
macOS
macOS
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to DBeaver, Spring Data?

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.

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.

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.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

PostGIS

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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