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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. MyBatis vs Spring Data

MyBatis vs Spring Data

OverviewComparisonAlternatives

Overview

MyBatis
MyBatis
Stacks279
Followers178
Votes17
GitHub Stars20.3K
Forks13.0K
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

MyBatis vs Spring Data: What are the differences?

Introduction

In this comparison, we will look at the key differences between MyBatis and Spring Data.

  1. Architecture: MyBatis is a SQL mapping framework which maps SQL queries to Java methods, providing developers with fine-grained control over SQL execution. On the other hand, Spring Data is a data access framework that simplifies the process of interacting with databases through repository interfaces, allowing automatic generation of CRUD operations.

  2. Configuration: MyBatis relies on XML or annotation-based configuration to define SQL mappings, parameter mappings, and result mappings. In contrast, Spring Data utilizes annotations and convention over configuration to reduce the need for explicit configuration, making it easier to set up and use without extensive XML configuration.

  3. ORM Support: MyBatis is a SQL-centric framework that operates at a lower level, allowing developers to write SQL queries explicitly and giving them control over the mapping between Java objects and database tables. Spring Data, on the other hand, supports multiple ORM frameworks such as JPA, MongoDB, Redis, and more, providing a higher level of abstraction for data access operations.

  4. Community Support: MyBatis has a dedicated community of users and contributors who primarily focus on SQL mapping and offer support for complex database operations. Spring Data, being a part of the larger Spring ecosystem, benefits from the extensive support and resources available for various Spring projects, making it easier to integrate with other Spring technologies.

  5. AOP Functionality: MyBatis does not provide built-in support for aspect-oriented programming (AOP), which is often used to implement cross-cutting concerns such as logging, security, and transaction management. Spring Data, being part of the Spring framework, offers seamless integration with Spring AOP, allowing developers to apply aspects to data access operations easily.

  6. Flexible Query Language: MyBatis allows developers to write complex SQL queries directly, giving them full control over the database interaction and query optimizations. In contrast, Spring Data's query methods are based on method naming conventions or query annotations, which can be limiting for advanced database operations requiring custom queries.

In Summary, the key differences between MyBatis and Spring Data lie in their architecture, configuration approaches, ORM support, community backing, AOP functionality, and query language flexibility.

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Detailed Comparison

MyBatis
MyBatis
Spring Data
Spring Data

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

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
20.3K
GitHub Stars
95
GitHub Forks
13.0K
GitHub Forks
84
Stacks
279
Stacks
883
Followers
178
Followers
408
Votes
17
Votes
0
Pros & Cons
Pros
  • 6
    Easy to use
  • 3
    Integrated with Spring
  • 3
    Extensions
  • 3
    Flexible
  • 2
    Data-first support
No community feedback yet
Integrations
No integrations available
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to MyBatis, 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.

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

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.

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