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

MyBatis vs Quarkus

OverviewComparisonAlternatives

Overview

MyBatis
MyBatis
Stacks279
Followers178
Votes17
GitHub Stars20.3K
Forks13.0K
Quarkus
Quarkus
Stacks311
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K

MyBatis vs Quarkus: What are the differences?

Introduction

This document provides a comparison of the key differences between MyBatis and Quarkus. Both frameworks are popular in the software development industry and serve different purposes. Understanding their differences will help developers to choose the most suitable framework for their projects.

  1. Flexibility: MyBatis is a data persistence framework that gives developers complete control over SQL statement generation. It provides dynamic SQL queries and allows fine-tuning of the database interactions. On the other hand, Quarkus is a cloud-native, full-stack framework that supports multiple programming languages and offers a flexible development experience with its plugin ecosystem and dev mode.

  2. Application Type: MyBatis is mainly used for building Java applications that require direct control over SQL queries and want to maintain explicit mapping between Java objects and database tables. It is commonly used in monolithic applications. In contrast, Quarkus is designed for building microservices and cloud-native applications using modern frameworks and containerization technologies like Docker and Kubernetes. It promotes lightweight, fast-booting applications optimized for serverless and cloud deployments.

  3. Performance: MyBatis is known for its high performance and efficiency in handling large datasets. It provides caching mechanisms, batch operations, and customizable statement execution, resulting in optimized database access performance. Quarkus, on the other hand, focuses on fast startup time and low memory consumption. It achieves this through features like ahead-of-time compilation, reactive programming model, and native image generation. It is designed to deliver highly responsive and scalable applications.

  4. Integration: MyBatis integrates seamlessly with existing legacy systems and third-party libraries. It supports various SQL databases and can easily adapt to different database providers. Quarkus, on the other hand, promotes a wide range of integrations through its extension ecosystem. It offers pre-packaged extensions for popular frameworks, databases, messaging systems, and cloud providers, enabling developers to quickly incorporate these services into their applications.

  5. Development Speed: MyBatis requires manual configuration and explicit SQL mapping, which can be time-consuming, especially when dealing with complex database schemas. Quarkus, on the other hand, emphasizes speed and developer productivity by providing a highly streamlined development experience. It offers built-in defaults, auto-configuration, and live reload capabilities, allowing developers to focus more on business logic rather than infrastructure concerns.

  6. Community and Support: MyBatis has been around since 2003 and has a mature and active community. It has a vast number of contributors, extensive documentation, and wide adoption in the industry. Quarkus, although relatively new, has gained significant popularity due to its innovative approach to cloud-native development. It has a growing community and strong support from Red Hat, the company behind the framework.

In summary, MyBatis is a powerful data persistence framework that provides control over SQL queries and is commonly used in monolithic Java applications. Quarkus, on the other hand, is a modern cloud-native framework designed for building microservices and optimized for performance, flexibility, and developer productivity.

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Manual

Detailed Comparison

MyBatis
MyBatis
Quarkus
Quarkus

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 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.

-
CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars
20.3K
GitHub Stars
15.2K
GitHub Forks
13.0K
GitHub Forks
3.0K
Stacks
279
Stacks
311
Followers
178
Followers
382
Votes
17
Votes
80
Pros & Cons
Pros
  • 6
    Easy to use
  • 3
    Integrated with Spring
  • 3
    Extensions
  • 3
    Flexible
  • 2
    Data-first support
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 11
    Low memory footprint
  • 11
    Produce native code
  • 10
    Integrated with GraalVM
Cons
  • 2
    Boilerplate code when using Reflection
Integrations
No integrations available
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty

What are some alternatives to MyBatis, Quarkus?

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.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

Entity Framework Core

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

SQLAlchemy

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

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